MLPerf Training v2.0 is the sixth instantiation for training and consists of eight different workloads covering a broad diversity of use cases, including vision, language, recommenders, and reinforcement learning.
MLPerf Inference v2.0 tested seven different use cases across seven different kinds of neural networks. Three of these use cases were for computer vision, one for recommender systems, two for language processing, and one for medical imaging.