MLPerf Client
MLCommons Association
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About this app
MLPerf Client is a benchmark developed collaboratively at MLCommons to evaluate the performance of large language models (LLMs) and other AI workloads on personal computers–from laptops and desktops to workstations. By simulating real-world AI tasks, it provides clear metrics for understanding how well systems handle generative AI workloads. The MLPerf Client working group intends for this benchmark to drive innovation and foster competition, ensuring that PCs can meet the challenges of the AI-powered future. System requirements: iPad Pro (M2) or newer with 16GB or more of RAM
What's new
Version 2.0 · Aug 28, 2026
MLPerf Client v2.0 expands the benchmark's scope to reflect the latest advancements in AI PC capabilities: Image Generation New dedicated category for generative visual tasks, featuring the Flux 2 Klein 4B model (experimental). Agentic AI Benchmarking New support for measuring the performance of AI agents in real-world scenarios, including Software Engineering (SWE) and Data Analyst tasks. Benchmarks track end-to-end performance, including LLM inference and tool execution time. Enhanced LLM Benchmarking Updated model lineup: Llama 3.1 8B and Phi 4 Mini Instruct are now the mandatory base benchmarks (Phi 3.5 has been removed). Added Qwen 3 8B as an experimental test. Phi 4 Reasoning 14B has been moved to the extended category. Mandatory support for 4K prompt lengths in base benchmarks. Transitioned select summarization tasks to structured JSON output tasks. Tooling & Performance Improvements Continued optimizations for cross-platform hardware acceleration on Windows, macOS, and Linux. Enhanced CLI capabilities, including CSV export for easier results analysis. Improved GUI responsiveness, stability, and memory utilization tracking.