An artificial intelligence visual benchmark uses standardized visual tasks to compare models or configurations. It may test image understanding, spatial reasoning, interface generation, visual detail or the ability to follow requirements in graphics and games.
A benchmark should include representative examples and a clear scoring process. Visual quality can be subjective, so automated checks often need human review or task-specific quality-assurance criteria.
