MLCommons™ Releases MLPerf™ Training v1.0 Results

SAN FRANCISCO–(BUSINESS WIRE)–Today, MLCommons, an open engineering consortium, released new results for MLPerf Training v1.0, 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, NLP, recommendation, and reinforcement learning. In its fourth round, MLCommons added two new benchmarks to evaluate the performance of speech-to-text and 3D medical imaging tasks.

MLPerf Training is a full system benchmark, testing machine learning models, software, and hardware. With MLPerf, MLCommons now has a reliable and consistent way to track performance improvement over time, plus results from a “level playing field” benchmark drives competition, which in turn is driving performance. Compared to the last submission round, the best benchmark results improved by…

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