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review:-framework-desktop-is-a-mash-up-of-a-regular-desktop-pc-and-the-mac-studio

Review: Framework Desktop is a mash-up of a regular desktop PC and the Mac Studio


Size matters most for Framework’s first stab at a desktop workstation/gaming PC.

The Framework Desktop. Credit: Andrew Cunningham

The Framework Desktop. Credit: Andrew Cunningham

Framework’s main claim to fame is its commitment to modular, upgradeable, repairable laptops. The jury’s still out on early 2024’s Framework Laptop 16 and mid-2025’s Framework Laptop 12, neither of which has seen a hardware refresh, but so far, the company has released half a dozen iterations of its flagship Framework Laptop 13 in less than five years. If you bought one of the originals right when it first launched, you could go to Framework’s site, buy an all-new motherboard and RAM, and get a substantial upgrade in performance and other capabilities without having to change anything else about your laptop.

Framework’s laptops haven’t been adopted as industry-wide standards, but in many ways, they seem built to reflect the flexibility and modularity that has drawn me to desktop PCs for more than two decades.

That’s what makes the Framework Desktop so weird. Not only is Framework navigating into a product category where its main innovation and claim to fame is totally unnecessary. But it’s actually doing that with a desktop that’s less upgradeable and modular than any given self-built desktop PC.

The Framework Desktop has a lot of interesting design touches, and it’s automatically a better buy than the weird AMD Ryzen AI Max-based mini desktops you can buy from a couple of no-name manufacturers. But aside from being more considerate of PC industry standards, the Framework Desktop asks the same question that any gaming-focused mini PC does: Do you care about having a small machine so much that you would pay more money for less performance, and for a system you can’t upgrade much after you buy it?

Design and assembly

Opening the Framework Desktop’s box. The PC and all its accessories are neatly packed away in all-recyclable carboard and paper. Andrew Cunningham

My DIY Edition Framework Desktop arrived in a cardboard box that was already as small or a bit smaller than my usual desktop PC, a mini ITX build with a dedicated GPU inside a 14.67-liter SSUPD Meshlicious case. It’s not a huge system, especially for something that can fit a GeForce RTX 5090 in it. But three of the 4.5-liter Framework Desktops could fit inside my build’s case with a little space leftover.

The PC itself is buried a couple of layers deep in this box under some side panels and whatever fan you choose (Framework offers RGB and non-RGB options from Cooler Master and Noctua, but any 120 mm fan will fit on the heatsink). Even for the DIY Edition, the bulk of it is already assembled: the motherboard is in the case, a large black heatsink is already perched atop the SoC, and both the power supply and front I/O ports are already hooked up.

The aspiring DIYer mainly needs to install the SSD and the fan to get going. Putting in these components gives you a decent crash course in how the system goes together and comes apart. The primary M.2 SSD slot is under a small metal heat spreader next to the main heatsink—loosen one screw to remove it, and install your SSD of choice. The system’s other side panel can be removed to expose a second M.2 SSD slot and the Wi-Fi/Bluetooth module, letting you install or replace either.

Lift the small handles on the two top screws and loosen them by hand to remove them, and the case’s top panel slides off. This provides easier access to both the CPU fan header and RGB header, so you can connect the fan after you install it and its plastic shroud on top of the heatsink. That’s pretty much it for assembly, aside from sliding the various panels back in place to close the thing up and reinstalling the top screws (or, if you bought or printed one, adding a handle to the top of the case).

The Framework Desktop includes a beefier version of Framework’s usual screwdriver with a longer bit. Credit: Andrew Cunningham

Framework includes a beefier version of its typical screwdriver with the Desktop, including a bit that can be pulled out and reversed to be switched between Phillips and Torx heads. The iFixit-style install instructions are clearly written and include plenty of high-resolution sample images so you can always tell how things are supposedto look.

The front of the system requires some assembly, too, but all of this stuff can be removed and replaced easily without opening up the rest of the system. The front panel, where the system’s customizable tiles can be snapped on and popped off, attaches with magnets and can easily be pried away from the desktop with your fingernails. At the bottom are slots for two of Framework’s USB-C Expansion Cards, the same ones that all the Framework Laptops use.

By default, those ports are limited to 5 Gbps USB transfer speeds in the BIOS, something the system says reduces wireless interference; those with all-wired networking and accessories can presumably enable the full 10 Gbps speeds without downsides. The front ports should support all of the Expansion Cards except for display outputs, which they aren’t wired for. (I also had issues getting the Desktop to boot from a USB port on the front of the system while installing Windows, but your mileage may vary; using one of the rear USB ports solved the issue for me.)

Standards, sometimes

Putting in the M.2 SSD. There’s another SSD slot on the back of the motherboard. Andrew Cunningham

What puts the Framework Desktop above mini PCs from Amazon or the various gaming NUCs that Intel and Asus have released over the years is a commitment to standards.

For reasons we’ll explore later, there was no way to build the system around this specific AMD chip without using soldered-on memory. But the motherboard is a regular mini ITX-sized motherboard. Other ITX boards will fit into Framework’s case, and the Framework Laptop’s motherboard will fit into other systems (as long as they can also fit the fan and heatsink).

The 400 W power supply conforms to the FlexATX standard. The CPU fan is just a regular 120 mm fan, and the mounting holes for system fans on the front can take any 92 mm fan. The two case fan headers on the motherboard are the same ones you’d find on any motherboard you bought for yourself. The front panel ports can’t be used for display outputs, but anything else ought to work.

Few elements of the Framework Desktop are truly proprietary, and if Framework went out of business tomorrow, you’d still have a lot of flexibility for buying and installing replacement parts. The problem is that the soldered-down, non-replaceable, non-upgradeable parts are the CPU, GPU, and RAM. There’s at least a little flexibility with the graphics card if you move the board into a different case—there’s a single PCIe x4 slot on the board that you could put an external GPU into, though many PCIe x16 graphics cards will be bandwidth starved. But left in its original case, it’s an easy-to-work-on, standards-compliant system that will also never be any better or get any faster than it is the day you buy it.

Hope you like plastic

Snapping some tiles into the Framework Desktop’s plastic front panel. Credit: Andrew Cunningham

The interior of the Framework Desktop is built of sturdy metal, thoughtfully molded to give easy access to each of the ports and components on the motherboard. My main beef with the system is the outside.

The front and side panels of the Framework Desktop are all made out of plastic. The clear side panel, if you spring for it, is made of a thick acrylic instead of tempered glass (presumably because Framework has drilled holes in the side of it to improve airflow).

This isn’t the end of the world, but the kinds of premium ITX PC cases that the Desktop is competing with are predominantly made of nicer-looking and nicer-feeling metal rather than plastic. It just feels surprisingly cheap, which was an unpleasant surprise—even the plastic Framework Laptop 12 felt sturdy and high-quality, something I can’t really say of the Desktop’s exterior panels.

I do like the design on the front panel—a grid of 21 small square plastic tiles that users can rearrange however they want. Framework sells tiles with straight and diagonal lines on them, plus individual tiles with different logos or designs printed or embossed on them. If you install a fan in the front of the system, you’ll want to stick to the lined tiles in the top 9 x 9 section of the grid, which will allow air to pass through. The tiles with images on them are solid—putting a couple of them in front of a fan likely won’t hurt your airflow too much, but you won’t want to use too many.

Framework has also published basic templates for both the tiles and the top panel so that those with 3D printers can make their own.

PC testbed notes

We’ve compared the performance of the Framework Desktop to a bunch of other PCs to give you a sense of how it stacks up to full-size desktops. We’ve also compared it to the Ryzen 7 8700G in a Gigabyte B650I Aorus Ultra mini ITX motherboard with 32GB of DDR5-6400 to show the best performance you can expect from a similarly sized socketed desktop system.

Where possible, we’ve also included some numbers from the M4 Pro Mac mini and the M4 Max Mac Studio, two compact desktops in the same general price range as the Framework Desktop.

For our game benchmarks, the dedicated GPU results were gathered using our GPU testbed, which you can read about in our latest dedicated GPU review. The integrated GPUs were obviously tested with the CPUs they’re attached to.

AMD AM5 Intel LGA 1851 Intel LGA 1700
CPUs Ryzen 7000 and 9000 series Core Ultra 200 series 12th, 13th, and 14th-generation Core
Motherboard ASRock X870E Taichi or MSI MPG X870E Carbon Wifi (provided by AMD) MSI MEG Z890 Unify-X (provided by Intel) Gigabyte Z790 Aorus Master X (provided by Intel)
RAM config 32GB G.Skill Trident Z5 Neo (provided by AMD), running at DDR5-6000 32GB G.Skill Trident Z5 Neo (provided by AMD), running at DDR5-6000 32GB G.Skill Trident Z5 Neo (provided by AMD), running at DDR5-6000

Performance and power

Our Framework-provided review unit was the highest-end option; it has a 16-core Ryzen AI Max+395 processor, 40 graphics cores, and 128GB of RAM. At $1,999 before adding an SSD, a fan, an OS, front tiles, or Expansion Cards, this is the best, priciest configuration Framework offers. The $1,599 configuration uses the same chip with the same performance, but with 64GB of RAM instead.

All 16 of those CPU cores are based on the Zen 5 architecture, with none of the smaller-but-slower Zen 5c cores. But its total TDP is also limited to 120 W in total, which will hold it back a bit compared to socketed 16-core desktop CPUs like the Ryzen 9 9950X, which has a 170 W default TDP for the CPU alone.

In our testing, it seems clear that the CPU throttles when being tasked with intensive multi-core work like our Handbrake test, with temperatures that spike to around 100 degrees Celsius and hang out at around or just under that number for the duration of our test runs. The CPU package uses right around 100 W on average (this will vary based on the tests you’re running and how long you’re running them), compared to the 160 W and 194 W that the 12- and 16-core Ryzen 9 9900X and 9950X can consume at their default power levels.

Those are socketed desktop chips in huge cases being cooled by large AIO watercooling loops, so it’s hardly a fair comparison. The Framework Desktop’s CPU is also quite efficient, using even less power to accomplish our video encoding test than the 9950X in its 105 W Eco Mode. But this is the consequence of prioritizing a small size—a 16-core processor that, under heavy loads, performs more like a 12-core or even an 8-core desktop processor.

The upside is that the Framework Desktop is quieter than most desktops either under load or when idling. By default, the main CPU fan will turn off entirely when the system is under light load, and I often noticed it parking itself when I was just browsing or moving files around.

Based on our gaming tests, the Framework Desktop should be a competent 1080p-to-1440p  midrange gaming system. We observed similar performance from the Radeon 8060S integrated GPU when we tested it in the Asus ROG Flow Z13 tablet. For an integrated GPU, it’s head and shoulders over anything you can get in a socketed desktop system, and it easily ran three or four times faster than the Radeon 780M in the 8700G. The soldered RAM is annoying, but the extra speed it enables helps address the memory bandwidth problem that starves most integrated GPUs.

Compared to other desktop GPUs, though, the 8060S is merely fine. It’s usually a little slower than the last-generation Radeon RX 7600 XT, a card that cost $329 when it launched in early 2024—and with a performance hit that’s slightly more pronounced in games with ray-tracing effects on.

The 8060S stacks up OK to older midrange GPUs like the GeForce RTX 3060 and 4060, but it’s soundly beaten by the RTX 5060 or the 16GB version of the Radeon RX 9060 XT, cards currently available for $300-to-$400. (One problem for the 8060S—it’s based on the RDNA3.5 architecture, so it’s missing ray-tracing performance improvements introduced in RDNA4 and the RX 9000 series).

All of that said, the GPU may be more interesting than it looks on paper for people whose workloads need gobs and gobs of graphics memory but who don’t necessarily need that memory to be attached to the blazing-fastest GPU that exists. For people running certain AI or machine learning workloads, the 8060S’s unified memory setup means you can get a GPU with 64GB or 128GB of VRAM for less than the price of a single RTX 5090 (Framework says the GPU can use up to 112GB of RAM on the 128GB Desktop). Framework is advertising that use case pretty extensively, and it offers a guide to setting up large language models to run locally on the system.

That memory would likely be even more useful if it were attached to an Nvidia GPU instead of an AMD model—Nvidia’s hold on the workstation graphics market is at least as tight as its hold on the gaming GPU market, and many apps and tools support Nvidia GPUs and CUDA first/best/only. But it’s still one possible benefit the Framework Desktop might offer, relative to a desktop with a dedicated GPU.

You can’t say it isn’t unique

The Framework Desktop is a bit like a PC tower blended with Apple’s Mac Studio. Credit: Andrew Cunningham

In one way, Framework has done the same thing with the Desktop that it has done with all its laptops: found a niche and built a product to fill it. And with its standard-size components and standard connectors, the Framework Desktop is a clear cut above every Intel gaming NUC or Asus ROG thingamajig that’s ever existed.

I’m always impressed by the creativity, thoughtfulness, and attention to detail that Framework brings to its builds. For the Desktop, this is partially offset by how much I don’t care for most of its cheap plastic-and-acrylic exterior. But it’s still thoughtfully designed on the inside, with as much respect for standards, modularity, and repairability as you can get, once you get past that whole thing where that the major functional components are all irrevocably soldered together.

The Framework Desktop is also quiet, cute, and reasonably powerful. You’re paying some extra money and giving up both CPU and GPU speed to get something small. But you won’t run into games or apps that simply refuse to run for performance-related reasons.

It does feel like a weird product for Framework to build, though. It’s not that I can’t imagine the kind of person a Framework Desktop might be good for—it’s that I think Framework has built its business targeting a PC enthusiast demographic that will mainly be turned off by the desktop’s lack of upgradeability.

The Framework desktop is an interesting option for people who want or need a compact and easy-to-build workstation or gaming PC, or a Windows-or-Linux version of Apple’s Mac Studio. It will fit comfortably under a TV or in a cramped office. It’s too bad that it isn’t easier to upgrade. But for people who would prefer the benefits of a socketed CPU or a swappable graphics card, I’m sure the people at Framework would be the first ones to point you in the direction of a good-old desktop PC.

The good

  • Solid all-round performance and good power efficiency.
  • The Radeon 8060S is exceptionally good for an integrated GPU, delivering much better performance than you can get in something like the Ryzen 7 8700G.
  • Large pool of RAM available to the GPU could be good for machine learning and AI workloads.
  • Thoughtfully designed interior that’s easy to put together.
  • Uses standard-shaped motherboard, fan headers, power supply, and connectors, unlike lots of pre-built mini PCs.
  • Front tiles are fun.

The bad

  • Power limits keep the 16-core CPU from running as fast as the socketed desktop version.
  • A $300-to-$400 dedicated GPU will still beat the Radeon RX 8060S.
  • Cheap-looking exterior plastic panels.

The ugly

  • Soldered RAM in a desktop system.

Photo of Andrew Cunningham

Andrew is a Senior Technology Reporter at Ars Technica, with a focus on consumer tech including computer hardware and in-depth reviews of operating systems like Windows and macOS. Andrew lives in Philadelphia and co-hosts a weekly book podcast called Overdue.

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review:-ryzen-ai-cpu-makes-this-the-fastest-the-framework-laptop-13-has-ever-been

Review: Ryzen AI CPU makes this the fastest the Framework Laptop 13 has ever been


With great power comes great responsibility and subpar battery life.

The latest Framework Laptop 13, which asks you to take the good with the bad. Credit: Andrew Cunningham

The latest Framework Laptop 13, which asks you to take the good with the bad. Credit: Andrew Cunningham

At this point, the Framework Laptop 13 is a familiar face, an old friend. We have reviewed this laptop five other times, and in that time, the idea of a repairable and upgradeable laptop has gone from a “sounds great if they can pull it off” idea to one that’s become pretty reliable and predictable. And nearly four years out from the original version—which shipped with an 11th-generation Intel Core processor—we’re at the point where an upgrade will get you significant boosts to CPU and GPU performance, plus some other things.

We’re looking at the Ryzen AI 300 version of the Framework Laptop today, currently available for preorder and shipping in Q2 for people who buy one now. The laptop starts at $1,099 for a pre-built version and $899 for a RAM-less, SSD-less, Windows-less DIY version, and we’ve tested the Ryzen AI 9 HX 370 version that starts at $1,659 before you add RAM, an SSD, or an OS.

This board is a direct upgrade to Framework’s Ryzen 7040-series board from mid-2023, with most of the same performance benefits we saw last year when we first took a look at the Ryzen AI 300 series. It’s also, if this matters to you, the first Framework Laptop to meet Microsoft’s requirements for its Copilot+ PC initiative, giving users access to some extra locally processed AI features (including but not limited to Recall) with the promise of more to come.

For this upgrade, Ryzen AI giveth, and Ryzen AI taketh away. This is the fastest the Framework Laptop 13 has ever been (at least, if you spring for the Ryzen AI 9 HX 370 chip that our review unit shipped with). If you’re looking to do some light gaming (or non-Nvidia GPU-accelerated computing), the Radeon 890M GPU is about as good as it gets. But you’ll pay for it in battery life—never a particularly strong point for Framework, and less so here than in most of the Intel versions.

What’s new, Framework?

This Framework update brings the return of colorful translucent accessories, parts you can also add to an older Framework Laptop if you want. Credit: Andrew Cunningham

We’re going to focus on what makes this particular Framework Laptop 13 different from the past iterations. We talk more about the build process and the internals in our review of the 12th-generation Intel Core version, and we ran lots of battery tests with the new screen in our review of the Intel Core Ultra version. We also have coverage of the original Ryzen version of the laptop, with the Ryzen 7 7840U and Radeon 780M GPU installed.

Per usual, every internal refresh of the Framework Laptop 13 comes with another slate of external parts. Functionally, there’s not a ton of exciting stuff this time around—certainly nothing as interesting as the higher-resolution 120 Hz screen option we got with last year’s Intel Meteor Lake update—but there’s a handful of things worth paying attention to.

Functionally, Framework has slightly improved the keyboard, with “a new key structure” on the spacebar and shift keys that “reduce buzzing when your speakers are cranked up.” I can’t really discern a difference in the feel of the keyboard, so this isn’t a part I’d run out to add to my own Framework Laptop, but it’s a fringe benefit if you’re buying an all-new laptop or replacing your keyboard for some other reason.

Keyboard legends have also been tweaked; pre-built Windows versions get Microsoft’s dedicated (and, within limits, customizable) Copilot key, while DIY editions come with a Framework logo on the Windows/Super key (instead of the word “super”) and no Copilot key.

Cosmetically, Framework is keeping the dream of the late ’90s alive with translucent plastic parts, namely the bezel around the display and the USB-C Expansion Modules. I’ll never say no to additional customization options, though I still think that “silver body/lid with colorful bezel/ports” gives the laptop a rougher, unfinished-looking vibe.

Like the other Ryzen Framework Laptops (both 13 and 16), not all of the Ryzen AI board’s four USB-C ports support all the same capabilities, so you’ll want to arrange your ports carefully.

Framework’s recommendations for how to configure the Ryzen AI laptop’s expansion modules. Credit: Framework

Framework publishes a graphic to show you which ports do what; if you’re looking at the laptop from the front, ports 1 and 3 are on the back, and ports 2 and 4 are toward the front. Generally, ports 1 and 3 are the “better” ones, supporting full USB4 speeds instead of USB 3.2 and DisplayPort 2.0 instead of 1.4. But USB-A modules should go in ports 2 or 4 because they’ll consume extra power in bays 1 and 3. All four do support display output, though, which isn’t the case for the Ryzen 7040 Framework board, and all four continue to support USB-C charging.

The situation has improved from the 7040 version of the Framework board, where not all of the ports could do any kind of display output. But it still somewhat complicates the laptop’s customizability story relative to the Intel versions, where any expansion card can go into any port.

I will also say that this iteration of the Framework laptop hasn’t been perfectly stable for me. The problems are intermittent but persistent, despite using the latest BIOS version (3.03 as of this writing) and driver package available from Framework. I had a couple of total-system freezes/crashes, occasional problems waking from sleep, and sporadic rendering glitches in Microsoft Edge. These weren’t problems I’ve had with the other Ryzen AI laptops I’ve used so far or with the Ryzen 7040 version of the Framework 13. They also persisted across two separate clean installs of Windows.

It’s possible/probable that some combination of firmware and driver updates can iron out these problems, and they generally didn’t prevent me from using the laptop the way I wanted to use it, but I thought it was worth mentioning since my experience with new Framework boards has usually been a bit better than this.

Internals and performance

“Ryzen AI” is AMD’s most recent branding update for its high-end laptop chips, but you don’t actually need to care about AI to appreciate the solid CPU and GPU speed upgrades compared to the last-generation Ryzen Framework or older Intel versions of the laptop.

Our Framework Laptop board uses the fastest processor offering: a Ryzen AI 9 HX 370 with four of AMD’s Zen 5 CPU cores, eight of the smaller, more power-efficient Zen 5c cores, and a Radeon 890M integrated GPU with 16 of AMD’s RDNA 3.5 graphics cores.

There are places where the Intel Arc graphics in the Core Ultra 7/Meteor Lake version of the Framework Laptop are still faster than what AMD can offer, though your experience may vary depending on the games or apps you’re trying to use. Generally, our benchmarks show the Arc GPU ahead by a small amount, but it’s not faster across the board.

Relative to other Ryzen AI systems, the Framework Laptop’s graphics performance also suffers somewhat because socketed DDR5 DIMMs don’t run as fast as RAM that’s been soldered to the motherboard. This is one of the trade-offs you’re probably OK with making if you’re looking at a Framework Laptop in the first place, but it’s worth mentioning.

A few actual game benchmarks. Ones with ray-tracing features enabled tend to favor Intel’s Arc GPU, while the Radeon 890M pulls ahead in some other games.

But the new Ryzen chip’s CPU is dramatically faster than Meteor Lake at just about everything, as well as the older Ryzen 7 7840U in the older Framework board. This is the fastest the Framework Laptop has ever been, and it’s not particularly close (but if you’re waffling between the Ryzen AI version, the older AMD version that Framework sells for a bit less money or the Core Ultra 7 version, wait to see the battery life results before you spend any money). Power efficiency has also improved for heavy workloads, as demonstrated by our Handbrake video encoding tests—the Ryzen AI chip used a bit less power under heavy load and took less time to transcode our test video, so it uses quite a bit less power overall to do the same work.

Power efficiency tests under heavy load using the Handbrake transcoding tool. Test uses CPU for encoding and not hardware-accelerated GPU-assisted encoding.

We didn’t run specific performance tests on the Ryzen AI NPU, but it’s worth noting that this is also Framework’s first laptop with a neural processing unit (NPU) fast enough to support the full range of Microsoft’s Copilot+ PC features—this was one of the systems I used to test Microsoft’s near-final version of Windows Recall, for example. Intel’s other Core Ultra 100 chips, all 200-series Core Ultra chips other than the 200V series (codenamed Lunar Lake), and AMD’s Ryzen 7000- and 8000-series processors often include NPUs, but they don’t meet Microsoft’s performance requirements.

The Ryzen AI chips are also the only Copilot+ compatible processors on the market that Framework could have used while maintaining the Laptop’s current level of upgradeability. Qualcomm’s Snapdragon X Elite and Plus chips don’t support external RAM—at least, Qualcomm only lists support for soldered-down LPDDR5X in its product sheets—and Intel’s Core Ultra 200V processors use RAM integrated into the processor package itself. So if any of those features appeal to you, this is the only Framework Laptop you can buy to take advantage of them.

Battery and power

Battery tests. The Ryzen AI 300 doesn’t do great, though it’s similar to the last-gen Ryzen Framework.

When paired with the higher-resolution screen option and Framework’s 61 WHr battery, the Ryzen AI version of the laptop lasted around 8.5 hours in a PCMark Modern Office battery life test with the screen brightness set to a static 200 nits. This is a fair bit lower than the Intel Core Ultra version of the board, and it’s even worse when compared to what a MacBook Air or a more typical PC laptop will give you. But it’s holding roughly even with the older Ryzen version of the Framework board despite being much faster.

You can improve this situation somewhat by opting for the cheaper, lower-resolution screen; we didn’t test it with the Ryzen AI board, and Framework won’t sell you the lower-resolution screen with the higher-end chip. But for upgraders using the older panel, the higher-res screen reduced battery life by between 5 and 15 percent in past testing of older Framework Laptops. The slower Ryzen AI 5 and Ryzen AI 7 versions will also likely last a little longer, though Framework usually only sends us the highest-end versions of its boards to test.

A routine update

This combo screwdriver-and-spudger is still the only tool you need to take a Framework Laptop apart. Credit: Andrew Cunningham

It’s weird that my two favorite laptops right now are probably Apple’s MacBook Air and the Framework Laptop 13, but that’s where I am. They represent opposite visions of computing, each of which appeals to a different part of my brain: The MacBook Air is the personal computer at its most appliance-like, the thing you buy (or recommend) if you just don’t want to think about your computer that much. Framework embraces a more traditionally PC-like approach, favoring open standards and interoperable parts; the result is more complicated and chaotic but also more flexible. It’s the thing you buy when you like thinking about your computer.

Framework Laptop buyers continue to pay a price for getting a more repairable and modular laptop. Battery life remains OK at best, and Framework doesn’t seem to have substantially sped up its firmware or driver releases since we talked with them about it last summer. You’ll need to be comfortable taking things apart, and you’ll need to make sure you put the right expansion modules in the right bays. And you may end up paying more than you would to get the same specs from a different laptop manufacturer.

But what you get in return still feels kind of magical, and all the more so because Framework has now been shipping product for four years. The Ryzen AI version of the laptop is probably the one I’d recommend if you were buying a new one, and it’s also a huge leap forward for anyone who bought into the first-generation Framework Laptop a few years ago and is ready for an upgrade. It’s by far the fastest CPU (and, depending on the app, the fastest or second-fastest GPU) Framework has shipped in the Laptop 13. And it’s nice to at least have the option of using Copilot+ features, even if you’re not actually interested in the ones Microsoft is currently offering.

If none of the other Framework Laptops have interested you yet, this one probably won’t, either. But it’s yet another improvement in what has become a steady, consistent sequence of improvements. Mediocre battery life is hard to excuse in a laptop, but if that’s not what’s most important to you, Framework is still offering something laudable and unique.

The good

  • Framework still gets all of the basics right—a matte 3:2 LCD that’s pleasant to look at, a nice-feeling keyboard and trackpad, and a design
  • Fastest CPU ever in the Framework Laptop 13, and the fastest or second-fastest integrated GPU
  • First Framework Laptop to support Copilot+ features in Windows, if those appeal to you at all
  • Fun translucent customization options
  • Modular, upgradeable, and repairable—more so than with most laptops, you’re buying a laptop that can change along with your needs and which will be easy to refurbish or hand down to someone else when you’re ready to replace it
  • Official support for both Windows and Linux

The bad

  • Occasional glitchiness that may or may not be fixed with future firmware or driver updates
  • Some expansion modules are slower or have higher power draw if you put them in the wrong place
  • Costs more than similarly specced laptops from other OEMs
  • Still lacks certain display features some users might require or prefer—in particular, there are no OLED, touchscreen, or wide-color-gamut options

The ugly

  • Battery life remains an enduring weak point.

Photo of Andrew Cunningham

Andrew is a Senior Technology Reporter at Ars Technica, with a focus on consumer tech including computer hardware and in-depth reviews of operating systems like Windows and macOS. Andrew lives in Philadelphia and co-hosts a weekly book podcast called Overdue.

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AMD’s new laptop CPU lineup is a mix of new silicon and new names for old silicon

AMD’s CES announcements include a tease about next-gen graphics cards, a new flagship desktop CPU, and a modest refresh of its processors for handheld gaming PCs. But the company’s largest announcement, by volume, is about laptop processors.

Today the company is expanding the Ryzen AI 300 lineup with a batch of updated high-end chips with up to 16 CPU cores and some midrange options for cheaper Copilot+ PCs. AMD has repackaged some of its high-end desktop chips for gaming laptops, including the first Ryzen laptop CPU with 3D V-Cache enabled. And there’s also a new-in-name-only Ryzen 200 series, another repackaging of familiar silicon to address lower-budget laptops.

Ryzen AI 300 is back, along with high-end Max and Max+ versions

Ryzen AI is back, with Max and Max+ versions that include huge integrated GPUs. Credit: AMD

We came away largely impressed by the initial Ryzen AI 300 processors in August 2024, and new processors being announced today expand the lineup upward and downward.

AMD is announcing the Ryzen AI 7 350 and Ryzen AI 5 340 today, along with identically specced Pro versions of the same chips with a handful of extra features for large businesses and other organizations.

Midrange Ryzen AI processors should expand Copilot+ features into somewhat cheaper x86 PCs.

Credit: AMD

The 350 includes eight CPU cores split evenly between large Zen 5 cores and smaller, slower but more efficient Zen 5C cores, plus a Radeon 860M with eight integrated graphics cores (down from a peak of 16 for the Ryzen AI 9). The 340 has six CPU cores, again split evenly between Zen 5 and Zen 5C, and a Radeon 840M with four graphics cores. But both have the same 50 TOPS NPUs as the higher-end Ryzen AI chips, qualifying both for the Copilot+ label.

For consumers, AMD is launching three high-end chips across the new “Ryzen AI Max+” and “Ryzen AI Max” families. Compared to the existing Strix Point-based Ryzen AI processors, Ryzen AI Max+ and Max include more CPU cores, and all of their cores are higher-performing Zen 5 cores, with no Zen 5C cores mixed in. The integrated graphics also get significantly more powerful, with as many as 40 cores built in—these chips seem to be destined for larger thin-and-light systems that could benefit from more power but don’t want to make room for a dedicated GPU.

AMD’s new laptop CPU lineup is a mix of new silicon and new names for old silicon Read More »

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Review: Intel Lunar Lake CPUs combine good battery life and x86 compatibility

that lake came from the moon —

But it’s too bad that Intel had to turn to TSMC to make its chips competitive.

  • An Asus Zenbook UX5406S with a Lunar Lake-based Core Ultra 7 258V inside.

    Andrew Cunningham

  • These high-end Zenbooks usually offer pretty good keyboards and trackpads, and the ones here are comfortable and reliable.

    Andrew Cunningham

  • An HDMI port, a pair of Thunderbolt ports, and a headphone jack.

    Andrew Cunningham

  • A single USB-A port on the other side of the laptop. Dongles are fine, but we still appreciate when thin-and-light laptops can fit one of these in.

    Andrew Cunningham

Two things can be true for Intel’s new Core Ultra 200-series processors, codenamed Lunar Lake: They can be both impressive and embarrassing.

Impressive because they perform reasonably well, despite some regressions and inconsistencies, and because they give Intel’s battery life a much-needed boost as the company competes with new Snapdragon X Elite processors from Qualcomm and Ryzen AI chips from AMD. It will also be Intel’s first chip to meet Microsoft’s performance requirements for the Copilot+ features in Windows 11.

Embarrassing because, to get here, Intel had to use another company’s manufacturing facilities to produce a competitive chip.

Intel claims that this is a temporary arrangement, just a bump in the road as the company prepares to scale up its upcoming 18A manufacturing process so it can bring its own chip production back in-house. And maybe that’s true! But years of manufacturing misfires (and early reports of troubles with 18A) have made me reflexively skeptical of any timelines the company gives for its manufacturing operations. And Intel has outsourced some of its manufacturing at the same time it is desperately trying to get other chip designers to manufacture their products in Intel’s factories.

This is a review of Intel’s newest mobile silicon by way of an Asus Zenbook UX5406S with a Core Ultra 7 258V provided by Intel, not a chronicle of Intel’s manufacturing decline and ongoing financial woes. I will mostly focus on telling you whether the chip performs well and whether you should buy it. But it’s a rare situation, where whether it’s a solid chip is not a slam-dunk win for Intel, which might factor into our overall analysis.

About Lunar Lake

A high-level breakdown of Intel's next-gen Lunar Lake chips, which preserve some of Meteor Lake's changes while reverting others.

Enlarge / A high-level breakdown of Intel’s next-gen Lunar Lake chips, which preserve some of Meteor Lake’s changes while reverting others.

Intel

Let’s talk about the composition of Lunar Lake, in brief.

Like last year’s Meteor Lake-based Core Ultra 100 chips, Lunar Lake is a collection of chiplets stitched together via Intel’s Foveros technology. In Meteor Lake, Intel used this to combine several silicon dies manufactured by different companies—Intel made the compute tile where the main CPU cores were housed, while TSMC made the tiles for graphics, I/O, and other functions.

In Lunar Lake, Intel is still using Foveros—basically, using a silicon “base tile” as an interposer that enables communication between the different chiplets—to put the chips together. But the CPU, GPU, and NPU have been reunited in a single compute tile, and I/O and other functions are all handled by the platform controller tile (sometimes called the Platform Controller Hub or PCH in previous Intel CPUs). There’s also a “filler tile” that exists only so that the end product is rectangular. Both the compute tile and the platform controller tile are made by TSMC this time around.

Intel is still splitting its CPU cores between power-efficient E-cores and high-performance P-cores, but core counts overall are down relative to both previous-generation Core Ultra chips and older 12th- and 13th-generation Core chips.

Some high-level details of Intel's new E- and P-core architectures.

Enlarge / Some high-level details of Intel’s new E- and P-core architectures.

Intel

Lunar Lake has four E-cores and four P-cores, a composition common for Apple’s M-series chips but not, so far, for Intel’s. The Meteor Lake Core Ultra 7 155H, for example, included six P-cores and a total of 10 E-cores. A Core i7-1255U included two P-cores and eight E-cores. Intel has also removed Hyperthreading from the CPU architecture it’s using for its P-cores, claiming that the silicon space was better spent on improving single-core performance. You’d expect this to boost Lunar Lake’s single-core performance and hurt its multi-core performance relative to past generations, and to spoil our performance section a bit, that’s basically what happens, though not by as much as you might expect.

Intel is also shipping a new GPU architecture with Lunar Lake, codenamed Battlemage—it will also power the next wave of dedicated desktop Arc GPUs, when and if we get them (Intel hasn’t said anything on that front, but it’s canceling or passing off a lot of its side projects lately). It has said that the Arc 140V integrated GPU is an average of 31 percent faster than the old Meteor Lake Arc GPU in games, and 16 percent faster than AMD’s newest Radeon 890M, though performance will vary widely based on the game. The Arc 130V GPU has one less of Intel’s Xe cores (7, instead of 8) and lower clock speeds.

The last piece of the compute puzzle is the neural processing unit (NPU), which can process some AI and machine-learning workloads locally rather than sending them to the cloud. Windows and most apps still aren’t doing much with these, but Intel does rate the Lunar Lake NPUs at between 40 and 48 trillion operations per second (TOPS) depending on the chip you’re buying, meeting or exceeding Microsoft’s 40 TOPS requirement and generally around four times faster than the NPU in Meteor Lake (11.5 TOPS).

Intel is shifting to on-package RAM for Meteor Lake, something Apple also uses for its M-series chips.

Enlarge / Intel is shifting to on-package RAM for Meteor Lake, something Apple also uses for its M-series chips.

Intel

And there’s one last big change: For these particular Core Ultra chips, Intel is integrating the RAM into the CPU package, rather than letting PC makers solder it to the motherboard separately or offer DIMM slots—again, something we see in Apple Silicon chips in the Mac. Lunar Lake chips ship with either 16GB or 32GB of RAM, and most of the variants can be had with either amount (in the chips Intel has announced so far, model numbers ending in 8 like our Core Ultra 7 258V have 32GB, and model numbers ending in 6 have 16GB). Packaging memory this way both saves motherboard space and, according to Intel, reduces power usage, because it shortens the physical distance that data needs to travel.

I am reasonably confident that we’ll see other Core Ultra 200-series variants with more CPU cores and external memory—I don’t see Intel giving up on high-performance, high-margin laptop processors, and those chips will need to compete with AMD’s high-end performance and offer additional RAM. But if those chips are coming, Intel hasn’t announced them yet.

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For the second time in two years, AMD blows up its laptop CPU numbering system

this again —

AMD reverses course on “decoder ring” numbering system for laptop CPUs.

AMD's Ryzen 9 AI 300 series is a new chip and a new naming scheme.

Enlarge / AMD’s Ryzen 9 AI 300 series is a new chip and a new naming scheme.

AMD

Less than two years ago, AMD announced that it was overhauling its numbering scheme for laptop processors. Each digit in its four-digit CPU model numbers picked up a new meaning, which, with the help of a detailed reference sheet, promised to inform buyers of exactly what it was they were buying.

One potential issue with this, as we pointed out at the time, was that this allowed AMD to change over the first and most important of those four digits every single year that it decided to re-release a processor, regardless of whether that chip actually included substantive improvements or not. Thus a “Ryzen 7730U” from 2023 would look two generations newer than a Ryzen 5800U from 2021, despite being essentially identical.

AMD is partially correcting this today by abandoning the self-described “decoder ring” naming system and resetting it to something more conventional.

For its new Ryzen AI laptop processors, codenamed “Strix Point,” AMD is still using the same broad Ryzen 3/5/7/9 number to communicate general performance level plus a one- or two-letter suffix to denote general performance and power level (U for ultraportables, HX for higher-performance chips, and so on). A new three-digit processor number will inform buyers of the chip’s generation in the first digit and denote the specific SKU using the last two digits.

AMD is changing how it numbers its laptop CPUs again.

Enlarge / AMD is changing how it numbers its laptop CPUs again.

AMD

In other words, the company is essentially hitting the undo button.

Like Intel, AMD is shifting from four-digit numbers to three digits. The Strix Point processor numbers will start with the 300 series, which AMD says is because this is the third generation of Ryzen laptop processors with a neural processing unit (NPU) included. Current 7040-series and 8040-series processors with NPUs are not being renamed retroactively, and AMD plans to stop using the 7000- and 8000-series numbering for processor introductions going forward.

AMD wouldn’t describe exactly how it would approach CPU model numbers for new products that used older architectures but did say that new processors that didn’t meet the 40+ TOPS requirement for Microsoft’s Copilot+ program would simply use the “Ryzen” name instead of the new “Ryzen AI” branding. That would include older architectures with slower NPUs, like the current 7040 and 8040-series chips.

Desktop CPUs are, once again, totally unaffected by this change. Desktop processors’ four-digit model numbers and alphabetic suffixes generally tell you all you need to know about their underlying architecture; the new Ryzen 9000 desktop CPUs and the Zen 5 architecture were also announced today.

It seems like a lot of work to do to end up basically where we started, especially when the people at AMD who make and market the desktop chips have been getting by just fine with older model numbers for newly released products when appropriate. But to be fair to AMD, there just isn’t a great way to do processor model numbers in a simple and consistent way, at least not given current market realities:

  • PC OEMs that seem to demand or expect “new” product from chipmakers every year, even though chip companies tend to take somewhere between one and three years to release significantly updated designs.
  • The fact that casual and low-end users don’t actually benefit a ton from performance enhancements, keeping older chips viable for longer.
  • Different subsections of the market that must be filled with slightly different chips (consider chips with vPro versus similar chips without it).
  • The need to “bin” chips—that is, disable small parts of a given silicon CPU or GPU die and then sell the results as a lower-end product—to recoup manufacturing costs and minimize waste.

Apple may come the closest to what the “ideal” would probably be—one number for the overarching chip generation (M1, M3, etc.), one word like “Pro” or “Max” to communicate the general performance level, and a straightforward description of the number of CPU and GPU cores included, to leave flexibility for binning chips. But as usual, Apple occupies a unique position: it’s the only company putting its own processors into its own systems, and the company usually only updates a product when there’s something new to put in it, rather than reflexively announcing new models every time another CES or back-to-school season or Windows version rolls around.

In reverting to more traditional model numbers, AMD has at least returned to a system that people who follow CPUs will be broadly familiar with. It’s not perfect, and it leaves plenty of room for ambiguity as the product lineup gets more complicated. But it’s in the same vein as Intel’s rebranding of 13th-gen Core chips, the whole “Intel Processor” thing, or Qualcomm’s unfriendly eight-digit model numbers for its Snapdragon X Plus and Elite chips. AMD’s new nomenclature is a devil, but at least it’s one we know.

For the second time in two years, AMD blows up its laptop CPU numbering system Read More »

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AMD intros Ryzen AI 300 chips with Zen 5, better GPU, and hugely improved NPU

ai everywhere —

High-end Ryzen laptop chips combine big and little Zen cores for the first time.

  • AMD’s Ryzen AI 300 series is its next-gen laptop platform, and the first to support Copilot+ PC features.

    AMD

  • Ryzen AI 300 uses a new CPU architecture, a revamped NPU, and a tweaked GPU architecture that AMD hasn’t said much about.

    AMD

  • Only two high-end processors will be available by July, though others will surely follow.

    AMD

  • How AMD’s new laptop CPU naming scheme applies to Ryzen AI 300.

    AMD

AMD’s next-generation laptop processors are coming later this year, joining new Ryzen 9000 desktop processors and ushering in yet another revamp to the way AMD does laptop CPU model numbers.

But the big thing the company wants to push is the new chips’ performance in generative AI and machine-learning workloads—it’s putting “Ryzen AI” right in the name and emphasizing the presence of an improved neural processing unit (NPU) that meets and exceeds Microsoft’s performance requirements for Copilot+ PCs. The new Ryzen AI 300-series, codenamed Strix Point, succeeds the Ryzen 8040 chips from earlier this year, which were themselves a relatively mild refresh for the Ryzen 7040 processors less than a year before.

AMD promises performance of up to 50 trillion operations per second (TOPS) with its new third-generation NPU, a significant boost from the 10 to 16 TOPS offered by Ryzen 7000 and 8000 processors with NPUs. This would make it faster than the 45 TOPS offered by the Qualcomm Snapdragon X Elite and X Plus in the first wave of Copilot+ compatible PCs, and also Intel’s projected performance for its next-generation Core Ultra chips, codenamed Lunar Lake. All exceed Microsoft’s Copilot+ requirement of 40 TOPS, which enables some Windows 11 features that aren’t normally available on typical PCs. Copilot+ PCs can do more AI processing locally on device rather than relying on the cloud, potentially improving performance and giving users more privacy.

If you don’t particularly care about generative AI, locally executed or otherwise, the Ryzen AI 300 processors also come with an updated CPU based on the same Zen 5 architecture as the desktop chips, plus an “RDNA 3.5” integrated GPU to boost gaming performance for thin-and-light systems that can’t fit a dedicated graphics processor. The chips are being manufactured on a TSMC N4 process.

  • AMD is mostly talking about the performance of the new NPU, which at least according to AMD should slightly outperform offerings from Qualcomm and Intel.

    AMD

  • The new integrated GPUs stack up well against Intel’s current Arc GPUs, though how they perform against next-gen Lunar Lake-based chips is anyone’s guess.

    AMD

AMD is announcing two chips today, both in the high-end Ryzen 9 series. The Ryzen AI 9 HX 370 includes 12 CPU cores and 16 GPU cores, up from a maximum of eight CPU cores and 12 GPU cores for the Ryzen 8040 series. The Ryzen AI 9 365 steps down to 10 CPU cores and 12 GPU cores. Both have the same NPU onboard.

Though an increase in CPU core count suggests big improvements in multi-threaded performance, note that in both chips a majority of the CPU cores (8 in the 370, 6 in the 365) actually use the “Zen 5c” architecture, a variant of Zen 5 that supports the exact same instructions and features but is optimized for small size rather than high clock speeds. The result is essentially AMD’s version of one of Intel’s E-cores, though without the truly heterogeneous CPU architecture that has caused incompatibility problems with some apps and games.

This isn’t the first time we’ve seen a mix of big and small CPU cores from AMD, but it is the first time we’ve seen it at the high-end. Zen 4c cores only really showed up in lower-end, lower-power CPU designs in the Ryzen 3 and 5 and Ryzen Z1 families.

Perhaps tellingly, AMD offered no direct comparisons between the CPU performance of the Ryzen AI 300 chips and the Ryzen 8040 series, opting instead to compare to offerings from Intel, Qualcomm, and Apple. This certainly doesn’t mean performance has regressed generation over generation, but it is usually code for “this isn’t the kind of improvement we want to draw attention to.”

AMD also didn’t offer performance comparisons between the new Radeon 890M and 880M and the old Radeon 780M. The company said that the 890M was an average of 36 percent faster in a small selection of games compared to the Intel Arc integrated GPU in the Meteor Lake Core Ultra chips and 60 percent faster than the Snapdragon X Elite in the 3DMark Night Raid benchmark (this was part of a slide that was specifically highlighting the performance impact of translating x86 code on Arm chips, though for the time being it’s true that the vast majority of games running on Snapdragon PCs will have to deal with the overhead of code translation).

AMD says that the Ryzen AI chips are slated to appear in “100+ platforms from OEMs” starting in July 2024, a month or so after Microsoft and Qualcomm’s first wave of Snapdragon X-equipped Copilot+ PCs. Ryzen AI will also compete with Intel’s next-gen Lunar Lake chips, also due out sometime later this year.

Listing image by AMD

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