
Community submitted benchmarks for Local AI
Community-submitted performance benchmarks for local AI models on any hardware, any runtime, any quantisation.
Compute:Arena provides community-submitted performance benchmarks for local AI models, compatible with any hardware, runtime, and quantization. It is an open-source project hosted on GitHub, aimed at enhancing AI model evaluation.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.