Here's my latest at Damage Labs: Mapping the PC SoC landscape. Questions are raised. Plans are made. More to come. www.damagelabs.com/p/mapping-th...

Mapping the PC SoC landscape

From tick-tock to SoC-o’clock

damagelabs.com

My latest post on Damage Labs ain't exactly rocket science. But it might involve a little. www.damagelabs.com/p/yeah-so-ro...

Yeah, so rockets...

The making of a high-power rocket flight

damagelabs.com

My latest at Damage Labs: Will Microsoft lose the consumer PC market? www.damagelabs.com/p/will-micro...

Will Microsoft lose the consumer PC market?

The PC is thriving. Windows is not.

damagelabs.com

My latest article at Damage Labs: How the AI hardware crunch will transform the PC www.damagelabs.com/p/the-person...

The personal computer's big-SoC future

The AI hardware crunch will transform the PC as we know it

damagelabs.com

Introducing Damage Labs! Some thoughts on 15 years of frame-time testing and the current state of things. www.damagelabs.com/p/inside-the...

Inside the second: where things stand today

15 years of progress in gaming performance—and some unfinished business

damagelabs.com

The Smurve80 looks like a Model M SSK, takes MX switches, has a curved plate like the old IBMs, and has a solenoid for the clack! Got mine and rebuilt it with Gateron Melodics.

Hey, folks. Just a quick note. I had my last day at MLCommons about a month ago. I'm now considering what's next in my career, and I'd be happy to talk with anyone about potential roles or ways we could collaborate. Let me know if you'd like to chat!

Found it.

This Assassin’s Creed II remaster is incredible.

Syryan Mont Cervin keyboard Carbon fiber plates Everglide Aqua King switches (205g0, Durock 63.5g slow springs, TX films) TX stabs MTNU WoB keycaps Createkeebs Venice Rialto keyboard PC plates Durock POM switches (205g0, CK 58g slow springs) Staebies NicePBT BoW with blue accents

Kiki’s Tented Alice keyboard FR4 plates Chosfox HMX Hanami Dango switches (205g0, Durock 63.5g slow springs, TX films) KKB WoB keycaps Black walnut wrist rest

Linworks/Syryan EM.8 Saffiano leather wrist rest inserts GMK Mictlán Noche Negra with Centinelas Prevail Epsilon switches (205g0, Durock 63.5g slow springs, TX films) TX stabilizers

Just arrived: Kiki’s Tented Alice by 27Studio.

MLPerf Inference 6.0 results are out! Lots of new goodness here, including a bunch of new benchmark tests (and models) and some very large clusters reaching new peak performance numbers.

MLCommons@mlcommons.org · 6mo ago

MLPerf Inference v6.0 is here - our most significant benchmark update ever. 5 new & updated benchmarks. 24 submitting organizations. Industry-first tests for text-to-video and speculative decoding. Full results: https://bit.ly/48b8NIj #MLPerf #MLCommons

🎉 MLPerf Mobile is now on the iOS App Store! Run industry-standard ML benchmarks right from your iPhone. See how your device performs — download it now 📲 https://apple.co/4bvbfdI #MLPerf #AI #MachineLearning

MLPerf Mobile app v5.0.4 is here! #MLPerf Mobile release now supports Samsung Exynos 2600 and Qualcomm's newest Snapdragon lineup, from flagship 8 Elite Gen 5 to mid-range 6 Gen 4. Meaning more comprehensive, apples-to-apples #AIperformance data across devices. play.google.com/store/apps/d...

MLPerf Mobile - Apps on Google Play

An AI benchmark for mobile devices

play.google.com

MLPerf Client v1.5 is out now. Updates include Windows ML support, GUI improvements, and experimental support for Linux and power-efficiency testing. We support a broad range of GPUs and NPUs across PCs, Macs, and iPad Pro. Free to download & run! mlcommons.org/2025/11/mlpe...

MLPerf Client v1.5 Advances AI PC Benchmarking with Windows ML Integration - MLCommons

MLPerf Client v1.5 introduces Windows ML support, expanded platform coverage (including iPad), and experimental power measurement, setting a new, comprehensive standard for benchmarking AI performance...

mlcommons.org

4GT Sabre Aluminum plate HMX Hades V2 switches (205g0, TX films, Durock 63.5g slow springs) TX AP screw-in stabs (205g0) GMK British Racing Green R2 Walnut wrist rest from Digital Carpentry

We have released MLPerf Mobile v5.0.1 with support for MediaTek Dimensity 9400 SoCs and a few other improvements. The app is available for Android phones via the Google Play Store and the MLCommons GitHub repo. Let us know what you think! t.co/715ENpV6W4

MLPerf Inference v5.1 results are out today! New in this round: DeepSeek R1, Whisper V3, and Llama 3.1 8B tests. A bunch of new GPUs were tested, including AMD MI355X, Nvidia GB300, and Intel Arc Pro B60. mlcommons.org/2025/09/mlpe...

MLCommons Releases New MLPerf Inference v5.1 Benchmark Results - MLCommons

MLCommons Releases New MLPerf Inference v5.1 Benchmark ResultsNew results highlight AI industry’s latest technical advances

mlcommons.org

MLPerf Client 1.0 is out! Happy to see an AI benchmark that supports as many platforms and as scalable a set of workloads as this one does, plus the new GUI is extremely handy.

MLPerf Client 1.0 AI benchmark released — new testing toolkit sports a GUI, covers more models and tasks, and supports more hardware acceleration paths

A useful new tool for navigating the highly fluid world of client AI performance

tomshardware.com

Another recent arrival: QK Alice Duo.

Just arrived: the 4GT Sabre.

MLPerf Client v1.0 is out! 🎉 The new benchmark for LLMs on PCs and client systems is now available—featuring expanded model support, new workload scenarios, and broad hardware integration. Thank you to all submitters! #AMD, #Intel, @microsoft.com, #NVIDIA, #Qualcomm mlcommons.org/2025/07/mlpe...

MLCommons Releases MLPerf Client v1.0: A New Standard for AI PC and Client LLM Benchmarking - MLCommons

MLCommons Releases MLPerf Client v1.0 with Expanded Models, Prompts, and Hardware Support, Standardizing AI PC Performance.

mlcommons.org

MLPerf Client v1.0 is now available with a host of updates, including: -A beta GUI -3 new models -Large ~4K/8K prompts -GPU, NPU, & hybrid acceleration for all major PC hardware vendors -Early Windows ML acceleration on Intel -Win11 x64/Arm and macOS support

Happy to have MLPerf Mobile on the Play Store! Going forward, we're working to deliver proper hardware acceleration on new mobile devices as they hit the market, as well.

MLCommons@mlcommons.org · last yr.

MLCommons just launched MLPerf Mobile on the Google Play Store! 📱 Benchmark your Android device’s AI performance on real-world ML tasks with this free, open-source app. Try it now: play.google.com/store/apps/d...