XREAL just announced a refresh to the best AR glasses on the market. The newly announced XREAL 1 Pro+ is brighter than last year's model and features enhancements to improve image quality.

XREAL carved a niche in the wearable space with its glasses that let you enjoy content on a massive digital screen that you can take anywhere. We've covered XREAL products for years, including the XREAL Air 2 Pro, XREAL One Pro, and XREAL Beam Pro, which enhances XREAL AR glasses by adding support for Android apps.

The XREAL 1 Pro+ builds on the XREAL One Pro, retaining a 57-degree field of view and support for 3DoF (three degrees of freedom) spatial viewing. The new AR glasses are much brighter than their predecessor.

The biggest upgrade on paper is the jump from 700 nits to 1,200 nits of brightness. We've found display quality to be one of the most important factors when evaluating AR glasses.

In our XREAL One Pro review, we said you should buy a pair if you want a "bright, beautiful, and private display for all your devices." We'll have to test the XREAL 1 Pro+ but the official specifications suggest it's brighter and more beautiful than its predecessor.

XREAL added support for AI HDR to improve perceived image quality, though that feature is limited to certain types of content.

The 2D-to-3D conversion of the glasses, which adds depth to normal 2D content, has had its refresh rate improved from 30Hz to 60Hz.

The XREAL 1 Pro+ also has a new ergonomic nose pad that is supposed to make the glasses more comfortable during extended sessions.

You can order the XREAL 1 Pro+ starting today for $599. The launch is through XREAL's website, but XREAL glasses have become available through Amazon and Best Buy in the past, so it's reasonable to expect the XREAL 1 Pro+ to appear at other retailers.

At the time of publication, the XREAL 1 Pro+ glasses had not appeared on the XREAL website. I will update this piece once they are available for purchase.

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RTX Spark is finally here. After years of rumors, NVIDIA has re-entered the Windows silicon game with the MediaTek N1X, a tailor-made 18/20-core SoC with 5,120 or 6,144 GPU cores, up to 128GB of unified memory, and a heck of a lot of power for apps, games, and AI experiences under the hood.

It's not every day that Windows gains a new silicon partner, which is why everyone seems to be involved with ensuring this launch goes as smoothly as possible. Microsoft has worked closely with NVIDIA on optimizing the Windows platform, especially for RTX Spark, and third-party app vendors like Adobe, Blender, anti-cheat software, and more have mobilized to optimize their products and frameworks for the new chipset.

But the big play with RTX Spark is on-device AI. LLMs and agentic workflows have become all the craze over the last year, and NVIDIA believes the RTX Spark is the first chipset for Windows that has been designed from the ground up for running local AI experiences locally and securely, without sacrificing performance.

NVIDIA has 6 hardware partners lined up to ship RTX Spark hardware starting this week, and all of them are aimed at the high-end content creator or developer crowd. NVIDIA has set its sights on competing head-to-head with the MacBook Pro, and is eager to win over AI developers who flocked to that platform thanks to Apple Silicon.

I've been testing out the top configuration of RTX Spark over the last week on a Surface Laptop Ultra, and here's what I discovered it's good at, and what it's not so good at. FYI, today's embargo only allows us to detail the RTX Spark's performance and benchmarks, not the Surface Laptop Ultra itself. So battery life, thermal performance, and laptop-specific variables are not included in this piece. That information will be shared in the full laptop review, coming soon.

NVIDIA RTX Spark Overview

If you're looking for a quick rundown of what RTX Spark is and how it compares, here's what you need to know:

RTX Spark is a powerful SoC with good CPU performance and great GPU performance. Its CPU is comparable to the Apple M4 Pro and Qualcomm's Snapdragon X2 Elite, with multi-thread performance being its stronger asset in the CPU department, though it trails behind the Apple M4 Max and Snapdragon X2 Elite Extreme.

The GPU is the star of the show, with great performance thanks to its 6,144 GPU cores that deliver smooth framerates (with help from DLSS and framegen), faster rendering times, and very capable AI performance. Its quantized INT8 tensor execution, unified memory sharing, and computer vision acceleration easily leapfrog mobile discrete GPUs in its power class for AI workflows, which it excels at.

I don't believe RTX Spark is for everyone. It's very good at key things, and shines primarily for those who are knee-deep in local AI workflows and experiences. If you're not a mobile content creator, software developer, or utilize local LLMs often, RTX Spark probably isn't for you.

Mobile efficiency varies depending on power profile. The GPU is hungry and will drain power fast when at full pelt, but in day-to-day usage that only occasionally leans on the GPU, it should last the workday. The good news is, you should see the same performance regardless of plugged-in state.

Compared with most integrated Snapdragon, Intel, and AMD systems, RTX Spark is substantially faster in AI image generation and local inference, while matching or approaching dedicated RTX 4070/5060/5070 class GPU performance in most workloads outside of AI.

The latest generation of high-end Apple Silicon retains an advantage in peak single-thread CPU performance, but RTX Spark’s strength is its GPU, with TensorRT execution and high-speed memory providing advantages in diffusion, quantized models, and sequential data access.

NVIDIA RTX Spark CPU Performance

The RTX Spark CPU was co-designed by NVIDIA and MediaTek. The N1X, as it's known, comes in either 18- or 20-core configurations and is relatively efficient while delivering good performance. With that said, it's not leading in its class, leaving something to be desired when it comes to raw benchmarks.

In Cinebench 2026, the 20-core N1X achieved a single-core score of 558 and a multi-core score of 6,885. To put that into perspective, its single-core score beats the first-gen Snapdragon X Elite X1E-80-100 at 519, but falls short compared to Qualcomm's Snapdragon X2 Elite Extreme, which achieves a score of 662 for single-core. Multi-core fares better, with a score of 6,885, which is only just behind the X2 Elite Extreme and Apple M4 Max.

These scores do place it ahead of Intel's and AMD's latest flagship mobile workstation chips, but the chipset simply doesn't compete with Apple's latest Max chips, consistently trailing behind the Apple M4 Max and the M3 Ultra. This is a little disappointing given that the RTX Spark is directly targeting Apple Silicon.

It's a similar story with our Geekbench 7 results, achieving a single-core score of 2,718 and a multi-core score of 23,571. It's clear that multi-core performance is the N1X's stronger asset, competing with the likes of the Apple M4 Pro or Intel Core Ultra 9 285K, and is well ahead of the last-gen Snapdragon X Elite and Intel Lunar Lake, as it should be.

Outside of benchmarks, in day-to-day use the N1X feels fine. This isn't a slow CPU by any means, and will chew through even complex workflows with no sweat. Most day-to -day apps are Arm native these days, but for the few that do require Microsoft's Prism emulation layer, you won't even notice it. RTX Spark makes it so emulated apps feel just like native ones.

All our benchmarks were run with the Best Performance setting enabled, and in our tests we ran them a number of times in both plugged-in and unplugged states to see if there's any performance drop when away from a wall outlet. The good news is the RTX Spark delivers pretty much the same power regardless of plugged-in state, which mimics Apple Silicon.

NVIDIA RTX Spark GPU Performance

The star of the show with RTX Spark is the Blackwell RTX GPU with either 5,120 or 6,144 cores. We benchmarked the top-end, 6,144-core configuration for these benchmarks, and it does impress, outputting performance in workflows like video editing, model rendering, and gaming similar to an RTX 4070 or 5060, but in an efficient package with all-day battery life.

For what is essentially an integrated GPU, it outputs dedicated GPU performance in pretty much all workflows. But it really excels at AI workflows, especially when optimized for tensor and CUDA.

The 128GB configuration is set to split that memory evenly between system RAM and the GPU, meaning in our default configuration and for how we ran most of our benchmarks, the GPU had 64GB of video RAM to make use of. In this configuration, it's more than capable for most tasks, with the only exception being running AI models that surpass this size. In that situation, you can allocate more memory to the GPU so that it will fit.

In our 3DMark tests, we found that the RTX Spark performs similarly to an RTX 4070. It's very capable at 1440p gaming with high settings in most titles, though more demanding games will need to lean on DLSS and frame generation for smooth 60+ FPS gaming. In most titles we benchmarked, games ran without a hitch and looked great.

Gaming is not the main reason to buy an RTX Spark laptop, but it is an additional benefit. It's the first Windows on Arm platform that does gaming relatively well, supporting the usual breadth of gaming technologies and frameworks such as:

• Ray tracing
• DLSS 5
• Multi Frame Generation
• Neural Rendering
• Reflex
• G-SYNC
• RTX Remix

Most games run under emulation on RTX Spark, as the platform is Arm64, and most games are compiled for x86. However, in most titles, this isn't a problem. Most mainstream anti-cheat software is now compatible with Windows on Arm, and the Prism emulation layer has been tuned specifically for RTX Spark to ensure most games run without a hitch, though there are exceptions.

Some games, such as Red Dead Redemption 2, will require you to change settings to get them to run successfully. For example, by default Red Dead Redemption 2 was set to run with Vulkan, which caused it to crash at launch. Switching it to DirectX12 fixed this for me. Most games run without needing to change any settings first, however.

I tried Cyberpunk 2077, which runs pretty well right out of the box. The game analyzed my system and decided that Ray Traced Ultra settings were a perfect fit for the RTX Spark. Running at 1440p with frame gen enabled, the game was easily able to maintain 60fps while looking good doing it with these graphics settings enabled.

Shadow of the Tomb Raider also works great, but it takes quite a while to actually load up. But once the game is running and you're in-game, it looks great and runs well above 60fps at high settings at 1440p. Marvel's Spider-Man 2 and The Witcher 3 Remastered ran without a hitch, reaching close to 90fps in high settings at 1440p.

For content creators, RTX Spark is a great choice. Whether you are editing photos or rendering videos using apps like Adobe Photoshop and Premiere Pro, or rendering 3D environments in Blender, the RTX Spark is well suited for those tasks.

Adobe and NVIDIA say the Adobe Creative Cloud Suite has been optimized specifically for RTX Spark. These optimizations include:

• Photoshop on-device AI object removal
• Premiere Pro TensorRT acceleration
• Blender support for DLSS 4.5 Ray Reconstruction

When it comes to video rendering times, the RTX Spark trails the current-gen RTX 50 series GPUs. We benchmarked it against three other laptops with an RTX 5060, 5070 Ti, and 5080, in which it trailed the RTX 5060 in video rendering performance, finishing a few seconds later in most instances. In this benchmark, we ran Premiere Pro Beta, as that version includes necessary optimizations for RTX Spark.

Dedicated GPU performance can vary depending on laptop chassis size, cooling solution, and thermal envelope, which is why the 5070 Ti frequently trailed the 5060 in our testing.

The RTX Spark GPU is very performant and is capable of pretty much handling anything you'd want to throw at it on a mobile workstation. Where it really shines, however, is running local AI models directly on it. It's the reason NVIDIA built this platform to begin with, and it does this very well.

We ran several Procyon AI benchmarks to see how well the GPU performs when running on-device AI workflows. Text generation LLMs ran very fast, with Spark delivering responsive time-to-first-token results, including 0.27 seconds on Phi and 0.39 seconds on LLaMA3, but its sustained decoding rates trail higher-wattage discrete GPUs.

But quantized AI performance is where RTX Spark truly leads. In Stable Diffusion 1.5 INT8, the RTX Spark scored 11,294 and generated images in 2.77 seconds, substantially outperforming the tested RTX 5080, RTX 5070 Ti, and RTX 5060, on which we ran the same tests.

AI Workflows

The GPU is best suited for running large on-device AI models such as Qwen 3.8 27B, Gemma 4 31B, or even 120B-parameter models such as Nemotron or GPT-OSS.

NVIDIA is touting local agentic capabilities with this GPU, leaning on apps like Hermes Agent and OpenClaw to achieve this. We tested Hermes Agent, as OpenClaw failed to connect to the gateway once setup was complete.

The selling point of running LLMs and agents locally is that you are no longer constrained by usage limits or the amount of tokens you have available. When the AI runs locally, it's yours. You can run it for as long and as hard as you like.

It's also good for security and privacy reasons. You may have confidential documents, audio recordings, intellectual property that you need summarized or explained to you, and feeding that data to a cloud-based LLM or agent is giving that data away to the host.

With RTX Spark, you can feed whatever data or task you want to your local AI running off the GPU, and that data will never leave the device. You can build up your own personal agent that is capable of managing your local files, creating documents, making edits, and in some cases even controlling your PC.

Hermes Agent is a great tool for beginners, as it offers local AI compute experiences and makes setting it up a breeze. You open the app, choose to run AI locally, and it recommends the best model for the specs you have. Once downloaded, you're good to start chatting with your own AI locally.

Hermes Agent is particularly good at automating tasks. The first thing I did was tell it to clean up and organize my large, cluttered downloads folder. It moved images to my photos library, deleting any old executables, and organizing and categorizing PDFs and Word documents appropriately. It did all this without sending any of my data to the cloud, all processed by the GPU.

I also asked it to build me a basic website that included all my benchmark results so that I could refer back to them more easily. It ran that process entirely off my GPU, and came up with a pretty nice looking webpage design in the process. Zero cloud-based tokens used:

NVIDIA has even built MCP support into NVIDIA Broadcast and NVIDIA Control Panel, allowing you to hook it up to your local LLM and issue commands that allow it to configure your NVIDIA PC's settings.

Windows and RTX Spark

In addition to raw CPU and GPU performance, Microsoft has worked closely with NVIDIA to optimize RTX Spark for Windows 11. This partnership runs deep, and there are a lot of things going on behind the scenes that will aid the performance of Windows and support for apps on RTX Spark over the coming months and years.

For those unboxing a new RTX Spark laptop this fall, the Get Started app on Windows 11 will present a step that makes downloading and installing apps that can handle AI agents super easy. Hermes Agent will even go a step further and recommend a suitable model to download once up and running, meaning the user has to do zero research to get started.

With that said, I still find these recommended apps quite complex and convoluted. Many beginners will feel overwhelmed by these apps, especially OpenClaw, which I could not get working properly after it failed to open a gateway to allow the AI model to communicate with the OpenClaw chat interface.

Microsoft has optimized the system scheduler specifically for RTX Spark to squeeze out as much performance across Windows, menu flyouts, app launches, and more as possible. It has also made changes and enhancements to how Windows handles unified memory so that it's faster and more reliable at feeding that memory to where you need it.

TensorRT is now supported by Windows ML, and DirectX 12 has neural rendering support. The Prism emulation layer has also been tuned for RTX Spark, which results in emulated apps that simply do not feel like they are being emulated.

Microsoft is also keen to position Windows as the platform for local AI and agentic workflows. It has built safeguards and security into the Windows platform to ensure the local agents you run on Windows aren't capable of making severe changes or causing damage to your files, apps, and more.

This is a direct attempt at combating the sudden rise in local AI developers flocking to the Mac. Apple has made little optimizations to macOS to adopt and safeguard local AI and agentic workflows on that platform, whereas Microsoft is moving to make agents a native extension of the Windows platform.

RTX Spark is a Copilot+ PC certified chip, but you won't find any Copilot+ PC features at launch. Microsoft says it's working with NVIDIA to bring features like Windows Recall, Click To Do, and on-device Semantic Search to the RTX Spark platform in the coming months, which will run off the RTX Spark's 50 TOPS NPU.

Conclusion

RTX Spark is a super interesting chipset. It's forward leaning in a lot of ways, built on the Arm64 architecture that delivers serious performance and great efficiency. While its N1X CPU is just okay, its Blackwell RTX GPU really shines.

This is the first time we've seen RTX 4070-5070 level performance in an SoC that is this small and efficient. It's optimized for AI workloads, which is its strongest workflow by far. Quantized AI models run great, and with up to 128GB of unified memory, most mainstream models will fit entirely on the GPU without a hitch.

It's also great for content creators, and is very capable at gaming also. But at the prices that these devices are launching at, I think most people would be better served getting an Intel or AMD laptop with a dedicated NVIDIA GPU instead, as these often cost less than the cheapest RTX Spark laptops right now.

But if your workflow involves running AI models locally all day, software development, or complex data crunching and source code management, the RTX Spark is one of the better choices in the Windows space right now, especially for laptops that are thin-ish and (relatively) lightweight.

These RTX Spark laptops are more efficient and portable than typical laptops with a dedicated NVIDIA GPU, which is one of the key benefits of an SoC like this. The power this GPU outputs, for what is essentially integrated graphics, should not be understated.

Of course, just how efficient RTX Spark is will depend entirely on the hardware you choose to buy, as OEMs are free to feed the GPU more or less power depending on the chassis and thermal envelope. Keep that in mind.

Benchmarks

All benchmarks ran on RTX Spark 20-core CPU configuration with 128GB RAM and 6,144 GPU cores. All tests ran connected to power with Best Performance profile enabled, unless stated otherwise. We are still running benchmarks and new tests, and will update accordingly.

Microsoft held a Windows and Surface event last week that focused heavily on the Surface Laptop Ultra. Coincidentally, Panos Panay announced a new device on the same day. Panay, who led Microsoft's hardware division for years, now works for Amazon and unveiled a new range of Amazon Alexa tablets.

Those tablets aren't really direct competition to the Surface Pro, but they do have a feature I'm envious of. The nanomatte screen on one of those Amazon Alexa tablets would be perfect on a Surface Pro.

Matte displays reduce glare by diffusing light. Because the screens bounce light in different directions, the image can appear grainy. An extreme example of this is if you get a cheap matte screen protector for your phone, but even a premium PC with a matte finish can look a bit grainy.

The nanomatte display Amazon uses in its new tablets etches the screen in a way that aligns with the pixels of the display. Amazon praises the displays for providing "a first-of-its-kind cinematic viewing experience, with incredible contrast retention in bright conditions and text that feels like it’s sitting on top of the glass."

I'm not sure I agree with the claim that it's a world first. Apple's nano-texture technology is similar to what Amazon unveiled. But even if Amazon is not a pioneer in the space, it has a device with a screen I'm envious of.

Microsoft has been oddly resistant to anti-glare displays. Surface was late to the party on adding them to any device and has been selective with where it offers the screens.

Even as recently as this year, Surface Laptop 8 shoppers needed to choose between an anti-glare display or 5G connectivity.

Our Editor-in-Chief Daniel Rubino argued back in 2020 that Microsoft needed to use anti-reflective displays in Surface PCs. Anti-reflective screens are different from anti-glare displays, but both aim to improve visibility in bright environments.

Microsoft has yet to fully embrace anti-glare screens and it holds back Surface hardware.

The anti-glare display of the Amazon Alexa Tablet 12 Pro also has a texture that makes pen usage feel more natural. The screen is meant to make it feel like you're writing on paper, not a perfectly smooth piece of glass.

It's not surprising that a device made by Panay has features that would fit perfectly on a Surface. He shaped the Surface brand as much as anyone, and he took his expertise over to Amazon.

But as I mentioned earlier, the Alexa tablets are not competitors to the Surface Pro, so they can't serve as replacements either. The Alexa tablets run on Android and have access to the Google Play Store. That's a welcome change to the locked-down Fire Tablets of the past, but it's a far cry from a Windows-powered 2-in-1.

I'd love to see Microsoft replicate the nanomatte finish of the Amazon Alexa Tablet 12 Pro on a Surface Pro in the future. The finish would help those using the Surface Pro in bright settings and also improve the feel of using a stylus.

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In September this year, Google announced its 'Googlebooks' as a premium laptop counterpart to its budget-conscious Chromebooks, rather than a replacement. It wouldn't have made much of a blip on my radar if the company hadn't paired with some of my favorite OEMs to build them.

Indeed, Google isn't building any first-party devices. Unlike Chromebook, these new Android-based offerings come only from OEMs like Acer, ASUS, Dell, HP, and Lenovo. 14-inch Windows laptops have quickly become my favorite, with ASUS' Zenbook in the lead, so the $1,299 ASUS Googlebook 14 is intriguing.

Admittedly, that mild intrigue is tempered by skepticism, given the ongoing controversy over app compatibility for the average consumer. I still see people blasting Windows on ARM devices as an inferior experience, despite Qualcomm's efforts with Snapdragon X2 chips proving that to be largely false.

With that in mind, could I ever seriously expect the general public to adopt another operating system with fewer features than Windows, less customization than Linux, and some pricing sensibilities of Mac? Offered a chance to test-drive a sample from ASUS, I couldn't resist. Here's how it went.

ASUS Googlebook 14: What I like

The ASUS Googlebook 14 looks (and feels) great, which didn't surprise me, given how much I've enjoyed the company's recent design evolutions. Its chassis is coated in a magnesium-aluminum alloy, which explicitly avoids being labeled as the same Ceraluminum as its Zenbooks, but it's extremely similar.

Perhaps most impressive is its weight; ASUS claims the Googlebook 14 starts at 0.99 kg (2.18 lbs), but my scales place it closer to 0.97 kg (2.13 lbs). I'm a big fan of this emerging trend, having adored the Zenbook A14 at 2.18 lbs. Yes, it comes with extra screen flex, but I don't make a habit of bending my laptops.

OLED displays rarely disappoint either, and sure enough, this 16:10 panel also looks great. I'm still getting used to matte screens, and frankly, I almost want to avoid touching it to prevent fingerprints. Nevertheless, it's rated for up to 450 nits of brightness and 100% DCI-P3 color gamut coverage. Good for creators.

Finally, the chiclet keyboard has a 1.5mm key travel, which is relatively deep and feels good enough. The 6-inch haptic touchpad, however, is immediately fantastic. Left-clicking works anywhere, and it responds convincingly when pressed. I'll even commend the I/O for keeping USB-A ports around.

ASUS Googlebook 14: What I don't like

Before I had a chance to experience much of Googlebook OS (which can refer to itself as ChromeOS during setup), I was irked by a few user experience oddities. Granted, these are primarily related to my expectations as a Windows user, but when I pressed the Caps Lock button, I expected capital letters.

Instead, Caps Lock defaults to activating a context menu indicated by a plus (+) icon, a sort of one-size-fits-all window that resembles Microsoft's 'Emoji and more' picker. Pressing Fn + Caps Lock delivers what I really wanted, which should be no big deal, just a learning curve. But it keeps going.

There's no delete key, so I need Fn + Backspace for that, which I wouldn't mind if double-tapping the touchpad would drag to select multiple words, but it doesn't work that way; I can only double-tap one word at a time. I suppose I might get used to that, too. Shift + arrow keys still select full lines, after all.

Some aren't as drastic; a single haptic click at the top of an app with maintained contact allows me to drag it around, while double-tapping restores or maximizes as I'd expect. On the other hand, there's no right-click area by default, instead requiring a two-finger tap unless I toggle that touchpad tweak in Settings.

Again, most of these gripes can be so easily dismissed as nothingburger preferences carried over from decades of habits formed on Windows, which is fair, but trying to carry out my daily workflow on the ASUS Googlebook 14 soon had me wondering how much broad appeal this platform will have.

Like an Android smartphone, Google supplies your apps from the Play Store. Starting with Slack shows how a Googlebook handles compatibility by dividing apps into categories ranked from best to worst: Made for desktop, Optimized for desktop, Compatible with desktop, Better on the website, and Built for mobile.

Slack feels like an unlucky starting place for my Googlebook adventure since it lands in the 'Better on the website' category, made worse by a message that says, "This app cannot be installed" as a PWA (Progressive Web App). Installing it anyway is, indeed, a lesser experience than using it in Chrome.

Opening the 'Compatible with desktop' Microsoft Edge brings the entire Googlebook to a strange halt, preventing even Task Manager from opening until I restart, and my chosen video editing suite, DaVinci Resolve, isn't available at all. I know it's in its infancy, but Google's OS isn't thrilling me so far.

ASUS Googlebook 14: What happens next?

All of these impressions came in the first 24 hours of having my hands on this interesting, AI-centric laptop, and there's more to see. Gemini begs me to use it at every turn, but my next step is syncing my Pixel 7 Pro or Galaxy Z Flip 7 to see how features like 'Cast my apps' actually perform.

I'm not writing it off yet, but my first impressions aren't exactly stellar. Even the RGB Glowbar gimmick offers little more than battery-life visibility; almost as frivolous as the illuminated "look what I have" logos on gaming laptop lids. On the software side, OS updates will likely fix many of my complaints.

Still, I won't ignore the outspoken Windows users who have pushed back on Copilot AI integrations in Microsoft's leading OS for the past few years, and I can only wonder who would adopt something fundamentally the same, except built by Google. Are Googlebooks perhaps only appealing to developers?

Either way, I'm impressed with ASUS but unconvinced by Googlebook. The hardware is fantastic, but it comes from the same people who built the Zenbook, so that's hardly a revelation. I'll keep using Googlebook OS for a few more days and see how it feels once the launch hype dies down.

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Recently, it was revealed that fans can expect FSR4 on the likes of the Xbox Ally X, something my colleague Jez Corden covered. But now, thanks to god-knows-what-kind-of wizardry, a new mod developed by lonewolf0622 has managed to get Nvidia’s own DLSS 3.7 working on AMD’s hardware, including the ROG Ally X and Steam Deck.

For those unfamiliar with what DLSS and FSR do, they basically let hardware render games at lower resolutions to improve performance, then upscale that image without tanking visual quality. Think of it as a game rendering at 720p and upscaling to 1080p for a much sharper image.

The mod, called HelixSR, is quite clever in how it achieves this. Rather than requiring NVIDIA hardware, it effectively tricks the hardware in believing it's AMD's FSR 3.1, allowing games to use DLSS's image reconstruction instead.

In testing from various creators, we actually know whether the mod is good or not. And early testing says, yes, it is. Over on ResetEra, users have been comparing HelixSR against FSR 4. One test showed that upscaling at 1080p took around 7 milliseconds with HelixSR, compared to 11 milliseconds using FSR 4.

It's not an insignificant difference, particularly for handhelds where performance is already rather limited. Of course, there's more to upscaling than raw performance, and whether the resulting image looks better is up for debate.

YouTuber BlackHeart909 has also been experimenting with the mod, reportedly achieving between 35 and 40 FPS in CONTROL Resonant on the ROG Ally X at 1080p. Dropping the output to 720p apparently allowed the game to maintain a locked 60 FPS, which is rather impressive.

There are some catches, though. HelixSR currently only works with DirectX 12 games, and those without FSR 3.1 support need an additional tool called OptiScaler.

Still, I find this whole thing fascinating. NVIDIA has spent years making DLSS a major selling point for its graphics cards, and now we're seeing people bring the technology to AMD-powered handhelds, which is just something I never thought we'd see.

Do let me know your thoughts on this in the comments. Shoutout to wccftech for originally reporting on this; it’s a great mod and hopefully can be more refined in the future.

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IDC and Omdia, two major analyst firms, recently released independent reports showing massive year-over-year drops in global PC shipments in Q3 2026. IDC shows a slightly rosier 20.1% decline compared to Q3 2025, whereas Omdia reports a 21.2% decline.

Breaking that down, Omdia notes that desktop shipments dropped 23.5% and laptops 20.6% to arrive at the average.

This decline is not normal. As IDC notes, Q3 almost always beats Q2, but this year, it's dropped by 9.1% sequentially.

Is there a need to panic? Probably not, at least not more than the new normal, as RAM and storage shortages have pushed prices beyond what many users are willing to pay. Let me explain.

Why did global PC shipments fall off a cliff in Q3 2026?

Both analysts agree that the sharp drop in global PC shipments is due to vendors and supply channels buying up stock earlier in the year. IDC's Jitesh Ubrani says it's the result of "strong first half pull-in" which has "thrown off the usual seasonality".

Despite the RAM and storage crisis already digging its claws into the market in Q1 2026, global PC shipments actually rose by 3.2% on the back of panic buyers, Windows 10 upgraders, and advance vendor stockpiling.

It wasn't until Q2 2026 that global shipments finally dropped year-over-year, this time by 4%. Again, much of the PC market was kept afloat by vendors and supply channels padding out their inventories before prices went any higher.

That momentum has finally tailed off in a major way. Ubrani remarks:

Omdia's Research Director Ishan Dutt agrees, noting that "pull-forward activity buoyed the PC market in the first half of the year" and that the sharp drop in Q3 2026 "comes as no surprise."

Which PC brand got hit the hardest in Q3 2026?

Omdia and IDC both provide detailed numbers as to how many shipments each major PC brand was able to send out in Q3 2026.

According to IDC, HP saw the biggest year-over-year decline at 30.9%, with Lenovo coming in second at a 22.6% decline. Omdia's numbers put HP at -31% and Lenovo at -22.9%, so not much difference.

Moving down IDC's list, Dell was hit by a 25% decline, ASUS by 8.6%, and other brands together by 14%. Despite Apple growing strongly in Q2 2026 thanks to the launch of its MacBook Neo, it also dropped off by 11.3% in Q3.

What does the drop in global PC shipments mean for regular buyers?

Basically, this sharp drop in shipments doesn't mean that you should suddenly see a return to more regular prices.

Vendors and suppliers had to buy their PCs in the first half of 2026 at a much higher price than usual, and they're not likely keen on losing money as they get rid of stock in Q4.

RAM and storage costs have not improved, and IDC's Ubrani notes that "with macro conditions worsening, the risk is that the outlook for the next few quarters gets worse before it gets better."

Offering buying advice here sort of feels futile. On one hand, yes, some vendors might realize they need to offload stock and will offer some tasty discounts that bring prices back into the realm of reality. Unfortunately, I can't guarantee that will happen any time in the near future.

On the other hand, laptops might be at their most affordable right now, and waiting for a great deal will only end up making you pay more later this year or next year. It's a frustrating predicament, to be sure.

It will be interesting to see what Q4 2026 has in store for the global PC market.

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Microsoft's new Surface Laptop Ultra is here. Preorders are live and shipments start next week. The PC packs an RTX Spark processor and has a mini-LED display and a nice range of ports, including the special magnetic USB-C port.

Surprisingly, the Surface Laptop Ultra has the lowest starting price of all the RTX Spark laptops. But Microsoft is pushing to compete with more than just Windows laptops. The tech giant will give you up to $1,000 cash back when you trade in a MacBook Pro and buy a Surface Laptop Ultra.

The cash back you receive would be on top of the trade-in value, not in place of it. Rather than the funds being dispensed at checkout, Microsoft will pay the cash back after receiving and evaluating your device.

"A promotional offer is extra value added to your trade-in when your device and purchase qualify," says Microsoft. "For example, you may receive a promotional bonus in addition to your device's standard trade-in value. The total amount is paid after your device is received and evaluated, not applied at checkout."

If you stack trade-in value with cash back, you can effectively save thousands of dollars on a Surface Laptop Ultra. Of course, that would require you to have a MacBook Pro in excellent condition that has incredibly high specs, all while wanting a Surface instead. I'm not sure how many people will check all those boxes.

Perhaps the bigger news here is that Microsoft specifically made a cash back offer targeting MacBook Pro owners. That's a clear shot at Apple and a sign that Microsoft wants to compete with what are often considered the best laptops on the market.

As you'd expect, the value of your device trade-in depends greatly on the model you're trading in and the condition that device is in. The highest trade-in value I was able to get through Microsoft's website was $2,115 for a MacBook Pro 16-inch (2025) with 128GB of RAM and 4TB of storage.

Interest in the Surface Laptop Ultra has been strong from our readers. It will be interesting to see if that sentiment is widespread and translates to sales.

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AMD's Senior VP and GM of Computing and Graphics, Jack Huynh, recently revealed to Korean tech outlet TheElec that the company intends to launch FidelityFX Super Resolution 4 (aka FSR 4) on more than just its Radeon RX 9000 and RX 7000 discrete graphics cards before 2027.

Huynh notes that the FSR 4 saturation will not only cover new APU hardware, but also existing APUs, gaming handhelds, and gaming laptops.

For us here at Windows Central, this is big news. Many of our favorite gaming handhelds, including the ROG Xbox Ally X and Legion Go, use an AMD Ryzen APU, which, to this point (and until AMD flips the switch), has only had official access to FSR 3.

I say official, because savvy enthusiasts have actually been able to get a leaked version of FSR 4 running on hardware suitable only for FSR 3 and 3.5, like the APUs used in gaming handhelds.

This hack delivered the change from FSR 3's manually tuned upscaling to FSR 4's machine learning approach, but it didn't come without some performance drawbacks.

According to Huynh, the secret to bringing FSR 4 to such a wide range of AMD GPUs is a new custom model.

AMD teased this advancement earlier this year when it unveiled FSR 4.1 for its Radeon RX 7000 GPUs, saying it needed more time to develop the lightweight alternative. About four months later, we now have confirmation that it's arriving before 2026 is through.

Is this what AMD needs to compete with Intel?

When I attended Computex this year, I had a chance to test out new gaming handhelds featuring Intel G3 and G3 Extreme chipsets.

The MSI Claw 8 EX AI+, the Acer Predator Atlas 8, and the OneXPlayer 3 were all available, and I was blown away by their performance and efficiency.

👉 "The upgrade I've been waiting for": Intel's new Arc G-Series gaming handheld chips are taking the fight straight to AMD Ryzen

My first thought, as I was enjoying some smooth gameplay on MSI's handheld, was that AMD had better cook something up quickly to compete with Intel.

Intel's package is all about superb performance with XeSS 3 multi-frame generation and low latency, with Team Blue claiming roughly 42% better performance than AMD's Ryzen Z2 Extreme at 35W.

If you've also had a chance to try out this latest wave of Intel handhelds, you know exactly what I'm getting at.

Part of the problem with AMD's existing handhelds is that they don't have access to machine learning upscaling, and the gap between FSR 3's hand-tuned abilities and FSR 4's AI-based approach is noticeable.

That will change whenever AMD actually drops FSR 4 down to its existing APUs. The real upshot here is that countless handheld gamers are going to suddenly get a boost without paying anything extra.

With Intel's G3/G3 Extreme handhelds generally costing significantly more than AMD alternatives, this should also help keep Ryzen-powered devices in the mix.

The bottom line here is that it's great to see AMD catching up to its competition, no matter how late it arrives. And I'll be keeping my eye on whatever next-gen APUs AMD is working on next.

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Microsoft's Surface Laptop Ultra is part of a new wave of Windows laptops running on NVIDIA's RTX Spark platform. It was first revealed at Computex 2026, and Microsoft followed up with pricing, release date, and more feature details at a special event on October 7, 2026. Prices are confirmed to start at $2,599.99, and models are expected to begin shipping on October 16.

The Surface Laptop Ultra is the most powerful Surface device yet thanks to its ARM-based NVIDIA System-on-Chip (SoC) with up to 20 CPU cores, 6,144 Blackwell RTX GPU cores, and 128GB of unified memory. Microsoft built the Surface Laptop Ultra for "world makers," also known as developers, scientists, engineers, and creators, who need a fresh take on performance and portability in the age of AI.