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.
Published results
Hardware configurations
Runtimes covered
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 doctoraihwbench benchmark --runtime ollama --model qwen2.5:0.5b-instruct-q4_K_MResults 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.