Ratified standard for measuring the carbon emissions of AI systems across their lifecycle.
- Pricing
- Free
- Category
- AI Governance for Sustainability
- Compliance
- EU AI Act
Verified 2026-10-22Website
AI Governance for Sustainability
MLPerf Power (MLCommons)
Benchmark working group measuring and reporting power and energy for MLPerf submissions.
Verified 2026-10-22
Pricing is not published on the vendor's site. Ask them for a quote before shortlisting; the recorded details show only what the vendor states publicly.
Overview
MLPerf Power is the MLCommons Power Working Group's programme to create power measurement techniques for MLPerf benchmarks that enable reporting and comparing energy consumption, performance and power of benchmarks run on submission systems. The working group's stated purpose is to address power consumption and energy efficiency across machine learning systems, from battery-powered devices to data centers, and its deliverables include power measurement techniques built on industry-standard tools, a list of approved power analyzers, power result metrics and a results format. The group's initial deliverable was integration with MLPerf Inference v1.0 for wall-powered systems.
Use cases
- Report AI system energy consumption in a standard format
- Compare power efficiency of ML hardware
- Audit energy results with approved power analyzers
- Guide procurement with benchmark power data
Sources
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