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training
Reference implementations of MLPerf™ training benchmarksinference
Reference implementations of MLPerf™ inference benchmarksck
Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardwaretiny
MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollersalgorithmic-efficiency
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.GaNDLF
A generalizable application framework for segmentation, regression, and classification using PyTorchmlcube
MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.medperf
An open benchmarking platform for medical artificial intelligence using Federated Evaluation.peoples-speech
The People’s Speech Datasettraining_policies
Issues related to MLPerf™ training policies, including rules and suggested changestraining_results_v0.7
This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.inference_results_v0.5
This repository contains the results and code for the MLPerf™ Inference v0.5 benchmark.inference_policies
Issues related to MLPerf™ Inference policies, including rules and suggested changesmodelbench
Run safety benchmarks against AI models and view detailed reports showing how well they performed.training_results_v0.6
This repository contains the results and code for the MLPerf™ Training v0.6 benchmark.training_results_v0.5
This repository contains the results and code for the MLPerf™ Training v0.5 benchmark.training_results_v1.0
This repository contains the results and code for the MLPerf™ Training v1.0 benchmark.hpc
Reference implementations of MLPerf™ HPC training benchmarksstorage
MLPerf™ Storage Benchmark Suiteinference_results_v1.0
This repository contains the results and code for the MLPerf™ Inference v1.0 benchmark.mlcube_examples
MLCube® exampleschakra
Repository for MLCommons Chakra schema and toolsmobile_app_open
Mobile App Opentraining_results_v2.0
This repository contains the results and code for the MLPerf™ Training v2.0 benchmark.modelgauge
Make it easy to automatically and uniformly measure the behavior of many AI Systems.policies
General policies for MLPerf™ including submission rules, coding standards, etc.training_results_v1.1
This repository contains the results and code for the MLPerf™ Training v1.1 benchmark.mobile_models
MLPerf™ Mobile modelslogging
MLPerf™ logging libraryinference_results_v2.1
This repository contains the results and code for the MLPerf™ Inference v2.1 benchmark.ck-mlops
A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:inference_results_v0.7
This repository contains the results and code for the MLPerf™ Inference v0.7 benchmark.inference_results_v3.0
This repository contains the results and code for the MLPerf™ Inference v3.0 benchmark.training_results_v2.1
This repository contains the results and code for the MLPerf™ Training v2.1 benchmark.power-dev
Dev repo for power measurement for the MLPerf™ benchmarksmedical
Medical ML Benchmarkdynabench
training_results_v3.0
This repository contains the results and code for the MLPerf™ Training v3.0 benchmark.tiny_results_v0.7
This repository contains the results and code for the MLPerf™ Tiny Inference v0.7 benchmark.inference_results_v1.1
This repository contains the results and code for the MLPerf™ Inference v1.1 benchmark.inference_results_v4.0
This repository contains the results and code for the MLPerf™ Inference v4.0 benchmark.dataperf
Data Benchmarkingmobile_open
MLPerf Mobile benchmarksscience
https://mlcommons.org/en/groups/research-science/tiny_results_v0.5
This repository contains the results and code for the MLPerf™ Tiny Inference v0.5 benchmark.inference_results_v3.1
This repository contains the results and code for the MLPerf™ Inference v3.1 benchmark.tiny_results_v1.0
This repository contains the results and code for the MLPerf™ Tiny Inference v1.0 benchmark.hpc_results_v0.7
This repository contains the results and code for the MLPerf™ HPC Training v0.7 benchmark.hpc_results_v2.0
This repository contains the results and code for the MLPerf™ HPC Training v2.0 benchmark.hpc_results_v1.0
This repository contains the results and code for the MLPerf™ HPC Training v1.0 benchmark.ck-venv
CK automation for virtual environmentscm-mlops
datasets_infra
training_results_v3.1
This repository contains the results and code for the MLPerf™ Training v3.1 benchmark.research
tiny_results_v1.1
This repository contains the results and code for the MLPerf™ Tiny Inference v1.1 benchmark.medperf-website
mobile_results_v2.1
This repository contains the results and code for the MLPerf™ Mobile Inference v2.1 benchmark.hpc_results_v3.0
This repository contains the results and code for the MLPerf™ HPC Training v3.0 benchmark.inference_results_v2.0
ck_mlperf_results
Aggregated benchmarking results from MLPerf Inference, Tiny and Training in the MLCommons CM format for the Collective Knowledge Playground. Our goal is to make it easier for the community to visualize, compare and reproduce MLPerf results and add derived metrics such as Performance/Watt or Performance/$Love Open Source and this site? Check out how you can help us