MLPerf Power: Addressing the Artificial Intelligence Power Wall

Power has become the defining constraint for modern machine learning, from milliwatt edge devices to multi-megawatt training clusters. Across this nine-order-of-magnitude span, the field has lacked a consistent way to measure and compare energy efficiency. We present MLPerf Power, a cross-scale energy benchmarking methodology that adapts instrumentation while preserving common measurement principles and reports shared metrics such as samples per joule and tokens per joule. The methodology has produced 1,841 repr…