AI EncyclopediaAIModels

Benchmark

벤치마크

A test that measures AI models on the same questions so you can compare them.

Overview

When a new model comes out, it is given a set of fixed questions in areas like math, coding and reading, and gets a score. That question set and its way of scoring is a benchmark. A table that ranks the scores is called a leaderboard.

Benchmarks are handy, but they have limits. If the test questions leak into the training data, scores get inflated. And a high score does not guarantee the model will meet expectations on real work.

An everyday example

It is like a car's official fuel economy rating. It is useful for comparing, but it may differ from the mileage you get when you actually drive.

Why it matters

News that "the new model took first place" is almost always about a benchmark. Look at which test it won, and at how much the model is actually used.

Also calledperformance test

See it on LastAI

These concept articles were written by AI and checked again for accuracy before publishing. The English edition is translated from the Korean articles. They leave out things that change quickly, such as prices and rankings. Tell us if something is wrong. Report an errorLast updated

You