MLPerf is an established benchmarking suite designed to evaluate the performance of machine learning hardware, software, and services. Created by a collaboration of industry leaders, academic institutions, and researchers, MLPerf provides standardized, representative benchmark tests across different ML tasks such as image recognition, natural language processing, and recommendation systems, among others. The aim is to offer a fair, reliable metric that showcases ML capabilities across diverse hardware and software environments.