AI benchmarks are standardized tasks, datasets, or evaluation methods used to compare AI system performance under defined conditions.
Benchmarks help teams track progress and weaknesses, but benchmark scores should be interpreted carefully because they may not reflect real-world reliability, safety, usability, or domain fit.