Benchmark local AI hardware. Honestly.

AIHWBench is a vendor-neutral, open platform for measuring how runtimes like Ollama, llama.cpp, ONNX Runtime and OpenVINO perform on real consumer hardware. Every published number comes from a real, reproducible run — missing metrics are shown as “—”, never guessed.

9

Published results

1

Hardware configurations

4

Runtimes covered

3

Models benchmarked

Measure your machine in one command

Install the CLI, pick a runtime you already have, and run a versioned workload with a fixed seed:

pip install aihwbench && aihwbench doctor
aihwbench benchmark --runtime ollama --model qwen2.5:0.5b-instruct-q4_K_M

Results are saved as JSON with full environment metadata, ready to validate and submit.

Reproducible by design

Fixed seeds, recorded prompts, model checksums, runtime versions and environment snapshots — plus portable .aihwbench bundles with SHA-256 integrity.

Vendor neutral

No vendor pays for placement, no hardware is favored. The leaderboard ranks only what was actually measured.

Privacy first

Local-first: results contain hardware class identifiers only — no serial numbers, paths or personal data. Every submission is privacy-scanned.