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    • Mermaid
      5000Updated Dec 24, 2025Dec 24, 2025
    • This repository contains automation scripts designed to run MLPerf Inference benchmarks. Originally developed for the Collective Mind (CM) automation framework, these scripts have been adapted to leverage the MLC automation framework, maintained by the MLCommons Benchmark Infrastructure Working Group.
      Python
      2411643Updated Dec 24, 2025Dec 24, 2025
    • Mobile App Open
      C++
      3066525Updated Dec 24, 2025Dec 24, 2025
    • This repository contains the results and code for the MLPerf® Inference v5.1 benchmark.
      HTML
      10000Updated Dec 23, 2025Dec 23, 2025
    • inference

      Public
      Reference implementations of MLPerf® inference benchmarks
      Python
      5991.5k21736Updated Dec 23, 2025Dec 23, 2025
    • mlcflow

      Public
      MLCFlow: Simplifying MLPerf Automations
      Python
      141020Updated Dec 22, 2025Dec 22, 2025
    • Run safety benchmarks against AI models and view detailed reports showing how well they performed.
      Python
      271144954Updated Dec 22, 2025Dec 22, 2025
    • storage

      Public
      MLPerf® Storage Benchmark Suite
      Python
      54171384Updated Dec 22, 2025Dec 22, 2025
    • Python
      01110Updated Dec 19, 2025Dec 19, 2025
    • Python
      0000Updated Dec 19, 2025Dec 19, 2025
    • croissant

      Public
      Croissant is a high-level format for machine learning datasets that brings together four rich layers.
      Jupyter Notebook
      9577316935Updated Dec 19, 2025Dec 19, 2025
    • MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
      Python
      76404267Updated Dec 18, 2025Dec 18, 2025
    • logging

      Public
      MLPerf™ logging library
      Python
      5437411Updated Dec 18, 2025Dec 18, 2025
    • ck

      Public
      Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to facilitate collaborative and reproducible research and to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks
      Python
      12363890Updated Dec 18, 2025Dec 18, 2025
    • Issues related to MLPerf® Inference policies, including rules and suggested changes
      5564194Updated Dec 16, 2025Dec 16, 2025
    • training

      Public
      Reference implementations of MLPerf® training benchmarks
      Python
      5871.7k193Updated Dec 16, 2025Dec 16, 2025
    • Issues related to MLPerf™ training policies, including rules and suggested changes
      Python
      7095452Updated Dec 16, 2025Dec 16, 2025
    • policies

      Public
      General policies for MLPerf® benchmarks including submission rules, coding standards, etc.
      Python
      60323640Updated Dec 16, 2025Dec 16, 2025
    • r2-infra

      Public
      MLC Cloudflare R2 Dataset Distribution Infrastructure Management
      HTML
      0100Updated Dec 15, 2025Dec 15, 2025
    • This repository contains the results and code for the MLPerf™ Mobile Inference v5.0 benchmark.
      0000Updated Dec 3, 2025Dec 3, 2025
    • medperf

      Public
      An open benchmarking platform for medical artificial intelligence using Federated Evaluation.
      Python
      361635320Updated Dec 3, 2025Dec 3, 2025
    • Python
      7820Updated Dec 1, 2025Dec 1, 2025
    • dynabench

      Public
      Python
      182785Updated Dec 1, 2025Dec 1, 2025
    • tiny

      Public
      MLPerf® Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
      C
      109437149Updated Dec 1, 2025Dec 1, 2025
    • mlcube

      Public
      MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.
      Python
      31158358Updated Nov 26, 2025Nov 26, 2025
    • Rust
      0000Updated Nov 25, 2025Nov 25, 2025
    • This repository contains the results and code for the MLPerf® Training v5.1 benchmark.
      Python
      2210Updated Nov 24, 2025Nov 24, 2025
    • MLPerf Client is a benchmark for Windows, Linux and macOS, focusing on client form factors in ML inference scenarios.
      C++
      46321Updated Nov 17, 2025Nov 17, 2025
    • MLPerf™ Mobile models
      102640Updated Nov 16, 2025Nov 16, 2025
    • This repository contains the results and code for the MLPerf™ Inference v5.0 benchmark.
      HTML
      131043Updated Nov 13, 2025Nov 13, 2025