Today, MLCommons announced new results from its MLPerf Inference v4.0 benchmark suite with machine learning (ML) system performance benchmarking. To view the results for MLPerf Inference v4.0 visit the Datacenter and Edge results pages. The MLPerf Inference….
MLPerf Training and HPC Benchmark Show 49X Performance Gains in 5 Years
November 8, 2023 by
MLCommons said the results highlight performance gains of up to 2.8X compared to 5 months ago and 49X over the first results five years ago, “reflecting the tremendous rate of innovation in systems for machine learning,” the organizations said.
MLCommons: MLPerf Results Show AI Performance Gains
June 27, 2023 by
Today ML Commons announced new results from two industry-standard MLPerf benchmark suites: Training v3.0, which measures the performance of training machine learning models, and Tiny v1.1, which measures how quickly a trained neural network can process new data for extremely low-power devices in the smallest form factors. To view the results and to find additional […]
MLCommons: Latest MLPerf AI Benchmark Results Show Machine Learning Inference Advances
September 8, 2022 by
SAN FRANCISCO – September 8, 2022 – Today, the open engineering consortium MLCommons announced results from MLPerf Inference v2.1, which analyzes the performance of inference — the application of a trained machine learning model to new data. Inference allows for the intelligent enhancement of a vast array of applications and systems. Here are the results and […]
MLPerf: Latest Results Highlight ‘More Capable ML Training’
June 29, 2022 by
Open engineering consortium MLCommons has released new results from MLPerf Training v2.0, which measures how fast various platforms train machine learning models. The organizations said the latest MLPerf Training results “demonstrate broad industry participation and up to 1.8X greater performance ultimately paving the way for more capable intelligent systems….” As it has done with previous […]
MLPerf Results Highlight Advances in Machine Learning Inference Performance and Efficiency
April 6, 2022 by
SAN FRANCISCO – April 6, 2022 – Today MLCommons, an open engineering consortium, released new results for three MLPerf benchmark suites – Inference v2.0, Mobile v2.0, and Tiny v0.7. MLCommons said the three benchmark suites measure the performance of inference – applying a trained machine learning model to new data. Inference enables adding intelligence to a wide range […]
MLCommons Releases MLPerf Training v1.1 AI Benchmarks
December 1, 2021 by
San Francisco — Dec. 1, 2021 – Today, MLCommons, the open engineering consortium, released new results for MLPerf Training v1.1, the organization’s machine learning training performance benchmark suite. MLPerf Training measures the time it takes to train machine learning models to a standard quality target in a variety of tasks including image classification, object detection, […]
MLPerf Releases Results for HPC v1.0 ML Training Benchmark
November 17, 2021 by
Today, MLCommons released new results for MLPerf HPC v1.0, the organization’s machine learning training performance benchmark suite for high-performance computing (HPC). To view the results, visit https://mlcommons.org/en/training-hpc-10/. NVIDIA announced that NVIDIA-powered systems won four of five MLPerf HPC 1.0 tests, which measures training of AI models in three typical workloads for HPC centers: CosmoFlow estimates details […]
MLCommons Releases MLPerf Inference v1.1 Results
September 22, 2021 by
San Francisco – September 22, 2021 – Today, MLCommons, an open engineering consortium, released new results for MLPerf Inference v1.1, the organization’s machine learning inference performance benchmark suite. MLPerf Inference measures the performance of applying a trained machine learning model to new data for a wide variety of applications and form factors, and optionally includes […]
Nvidia Romps in Latest MLPerf AI Benchmark Results
April 21, 2021 by
What has become Nvidia’s regular romp through MLPerf AI benchmarks continued with today’s release of the latest performance measurements across a range of inference workloads, including computer vision, medical imaging, recommender systems, speech recognition and natural language processing. The latest benchmark round received submissions from 17 organizations and includes 1,994 performance and 862 power efficiency […]
