MLPerf Client v2.0 Expands AI PC Benchmarking with Image Generation and Agentic AI
MLCommons ·
New benchmark categories for generative AI and agentic workflows arrive alongside updated LLM tests, as the industry standard for measuring PC AI performance evolves. The post MLPerf Client v2.0 Expands AI PC Benchmarking with Image Generation and Agentic AI appeared first on MLCommons .
MLCommons ® , an open engineering consortium dedicated to improving machine learning performance and transparency, today announced the release of MLPerf ® Client v2.0, the latest version of its industry-standard benchmark for evaluating AI performance on personal computers.
MLPerf Client measures how effectively PCs—from laptops and desktops to workstations—run AI workloads locally. With the release of v2.0, the benchmark now includes new Agentic AI and Image Generation capabilities alongside its established LLM benchmarking of real-world tasks like summarization, content creation, and code analysis, reporting metrics for both responsiveness and throughput.
Version 2.0 introduces a range of new features, refinements, and expanded support designed to keep pace with the rapid evolution of AI-enabled hardware and software:
These updates mark another major step toward a comprehensive, cross-platform benchmark for client AI computing.
MLPerf Client is the product of a collaboration among technology leaders, including AMD, Intel, Microsoft, NVIDIA, Qualcomm Technologies, Inc., and top PC OEMs. These participants have contributed resources and expertise to the creation of this AI benchmark.
MLPerf Client v2.0 is freely available for download, and the source code is open for inspection and community contribution via the MLCommons GitHub repository. For downloads, documentation, and additional details, visit mlcommons.org .
GitHub releases (Windows, macOS, Linux): https://github.com/mlcommons/mlperf_client/releases About MLCommons
MLCommons is an open engineering consortium with a mission to make machine learning better for everyone. The organization produces industry-leading benchmarks, datasets, and best practices that span the full range of ML applications—from massive cloud training to resource-constrained edge devices. Its MLPerf benchmark suite has become the de facto standard for evaluating AI performance.
Learn more at www.mlcommons.org .
Press Contact: press@mlcommons.org
The post MLPerf Client v2.0 Expands AI PC Benchmarking with Image Generation and Agentic AI appeared first on MLCommons .