MLPerf Client
PC AI Performance Benchmarks
Product Details
MLPerf Client is a new benchmark co-developed by MLCommons designed to evaluate the performance of large language models (LLMs) and other AI workloads on personal computers, ranging from laptops to desktops to workstations. This benchmark provides clear indicators of how a system handles generative AI workloads by simulating real-world AI tasks. The MLPerf Client Working Group hopes this benchmark will drive innovation and competition, ensuring PCs can meet the challenges of an AI-driven future.
Main Features
How to Use
Target Users
The target audience of MLPerf Client is hardware manufacturers, software developers, and AI researchers. Hardware manufacturers can use this benchmark to demonstrate the AI performance of their products; software developers can use it to optimize software and improve the performance of AI applications; and AI researchers can use this benchmark to evaluate and compare the performance of different AI models.
Examples
Hardware manufacturers use the MLPerf Client benchmark to compare the performance of different GPUs on AI tasks.
Software developers use MLPerf Client to test the performance of their AI applications under different hardware configurations.
AI researchers use MLPerf Client to evaluate the impact of different optimization techniques on model performance.
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