MLPerf Client v2.0 added image-generation, agentic-AI, and updated large-language-model tests for benchmarking AI PCs.

MLCommons released MLPerf Client v2.0, expanding its benchmark suite for measuring AI performance on personal computers. MLCommons is an open engineering consortium focused on machine-learning performance and transparency.

The release adds benchmark categories for image generation and agentic-AI workflows. It also updates the suite’s large language model tests, broadening coverage beyond the AI workloads included in the previous client benchmark.

The update is a benchmarking release, not a ranking of a particular central processing unit, graphics processing unit, or neural processing unit. The supplied announcement does not include vendor scores, system configurations, power results, or comparisons among specific AI PCs.