@MLPerf

Building fair, useful, industry-standard benchmarks for ML training and inference performance of hardware, software, and services from TinyML to supercomputers

mlcommons.org
Joined January 2019
  • Tweets97
  • Following2
  • Followers713
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We've just released @MLPerf Mobile version 5.0.2 on the Google Play Store and GitHub. This version adds support for devices based on the Samsung Exynos 2500 SoC. play.google.com/store/apps/d…
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@MLCommons & @AVCConsortium announce @MLPerf Automotive v0.5 benchmark results—a major step for transparent, reproducible automotive AI performance data. mlcommons.org/2025/08/mlperf…

AVCC and MLCommons Release New MLPerf Automotive v0.5 Benchmark Results - MLCommons

AVCC® and MLCommons® announced new results for their new MLPerf® Automotive v0.5 benchmark

mlcommons.org
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Guess who was named an AI inference leader in the latest @MLPerf results released by MLCommons?

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On a personal level, I loved seeing .@MLPerf being mentioned so much! I can’t wait to see more submissions from across the industry as we push for the next 1000x in machine learning performance.
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Replying to @MLCommons @MLPerf
The Perf Storage Benchmark Suite will be a critical resource in improving machine learning and we’re honored to have participated alongside these industry leaders and academic organizations!
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Inference keeps getting faster ... and more demanding. @MLCommons MLPerf Inference 3.1 adds large language model benchmarks for inference venturebeat.com/ai/mlperf-3-… via @VentureBeat "“We’re evolving the benchmark suite to reflect what’s going on,” @TheKanter said.

MLCommons adds LLM benchmarks to MLPerf | VentureBeat

Vendor neutral, multi-stakeholder MLCommons, which allows orgs to report on AI performance, has released its second major update.

venturebeat.com
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@MLCommons, we just released! New @MLPerf Inference and Storage results. Record participation in MLPerf Inference v3.1 and first-time MLPerf Storage v0.5 results highlight the growing importance of GenAI and storage. See all the results and learn more mlcommons.org/en/news/mlperf…
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AI semiconductor company @Syntiantcorp announced its Syntiant Core 2™ programmable #deeplearning #architecture ranked as utilizing the lowest power #energy across three categories in @MLCommons @MLPerf Tiny v1.1 benchmark suite. Read more about energy performance below:
Syntiant Corp.
@Syntiantcorp5 Jul 2023
Great news! Our second-generation architecture achieved the lowest power energy performance across three categories in the most recent @MLCommons @MLPerf Tiny v1.1 benchmark suite. Click bit.ly/3PJGd8t to read the full results. #edgeAI #tinyML
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If you are at the @databricks Data+AI Summit this week be sure to check out @MLCommons Exec Director @TheKanter's session - Advancing ML Through Benchmarks & Data, Thursday, June 29 at 2:30pm databricks.com/dataaisummit/…
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Calling all ISC attendees, stop by the @MLPerf roundtable 5/24 at 9am, Hall E - 2nd floor, to learn more about the MLPerf HPC benchmark suite V3.0 from the experts who created it. #mlcommons #MachineLearning #ISC23
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Can you train a large language model? We’re adding GPT3 to MLPerf Training v3.0, so show us what you’ve got in Q2! Let the games begin 🥳🎉🎈🎊
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Driving ML Forward in Automotive - David Kanter - 2023 CASPA Spring Symp... youtu.be/-TxJbUSv7EA via @YouTube

Driving ML Forward in Automotive - David Kanter - 2023 CASPA Spring...

MLCommons' Executive Director David Kanter gives a presentation on ...

youtube.com
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MLPerf retweeted
HPCwire
@HPCwire5 Apr 2023
MLCommons: MLPerf Inference Delivers Power Efficiency and Performance Gains ow.ly/5vE250NBs04 #HPC @MLCommons @MLPerf

MLCommons: MLPerf Inference Delivers Power Efficiency and Performance Gains - HPCwire

April 5, 2023 — MLCommons, the leading open AI engineering consortium, announced today new results from the industry-standard MLPerf Inference v3.0 and Mobile v3.0 benchmark suites, which measure the...

hpcwire.com
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Learn about the business implications and check out the technical details of our @MLPerf submission in our blog. neuralmagic.com/blog/neural-…

Artificial intelligence (AI) at Red Hat

From live events to hands-on product demos to deep technical research, see what we're doing with AI at Red Hat.

redhat.com
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.@MLPerf inference results are out! Two startups took on @nvidia and won (albeit for perf/Watt, and only in certain specific scenarios): Taiwan's Neuchips and Silicon Valley's SiMa. @Qualcomm also has some perf/Watt wins against H100 this time. #mlperf #ai eetimes.com/mlperf-inference…

MLPerf Inference: Startups Beat Nvidia on Power Efficiency - EE Times

How relevant are MLPerf inference scores for Bert for very large language models like ChatGPT?

eetimes.com
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New @MLPerf inference results from us at @neuralmagic are now up! We show 1,000x performance improvements and 92% reduction in energy consumption. Dive into the blog to learn more: neuralmagic.com/blog/neural-… #mlops #mlperf #ml
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With the Intel #oneAPI tools and optimized #AI frameworks #deeplearning inference and training saw significant performance gains on the latest Intel Xeon CPU Max Series. Learn more: intel.ly/3GwgRop #DL #CPU @MLPerf @TensorFlow @PyTorch @IntelAI
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[News from the #STBlog: bddy.me/3VjhvM7] We recently joined @MLCommons and released new @MLPerf Tiny results. See why the benchmark helps advance machine learning at the edge. @TheKanter
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So excited at #SC22 to see which team will win the @SCCompSC. Teams are working hard benchmarking #HPL #HPCG #IO500 #AI before the application workload kick off at the gala tonight. Thanks @MLPerf @MLCommons @grigori_fursin @OctoML for the #AI benchmark.
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🚀 The results are in! 📊 @MLPerf Results Published For November 9th Benchmarking Rounds | via @wandb wandb.ai/telidavies/ml-news/…
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