Benchmark Work | Benchmarks MLCommonsBenchmarks Delivering open, useful measures of quality, performance and safety to help guide responsible AI development. The foundation for MLCommons benchmark work was derived from and builds upon MLPerf which aims to deliver a representative benchmark suite for AI/ML that fairly evaluates system performance to meet five high-level goals:
