← AI Glossary

Benchmark

A standardised test, dataset or evaluation protocol used to measure and compare the performance of AI models on specific tasks under controlled conditions.

In plain language

A standardised test that lets you fairly compare different AI models. The same benchmark is run on multiple models, so you can see which one performs best on that particular task.

Why this matters

Benchmarks are essential for evaluating whether an AI model meets your performance requirements before deployment. Using recognised benchmarks also helps you understand the model's limitations and make informed decisions about where human oversight is needed.

Relevance

Implementation

Benchmarking is part of the model validation and testing phase that precedes deployment decision-making.

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