Community submitted benchmarks for Local AI.
Every result comes from a signed report produced on community hardware. Browse by model, quantisation and chip.
Install & start · macOS / Linux
curl -LsSf https://computearena.ai/install.sh | sh -s launchRequires curl, tar and Python 3. Review and confirm the installation; the interactive menu opens in this terminal. No sudo required.
Latest runs
Qwen3 0.6BReported as Qwen/Qwen3-0.6B · qwen · default-q4isu
Gemma 3 1B ITReported as google/gemma-3-1b-it · gemma3 · default-q4lukas
Qwen3 0.6BReported as Qwen/Qwen3-0.6B · qwen · default-q4lukas
Gemma 3 1B ITReported as google/gemma-3-1b-it · gemma3 · default-q4lukas
How it works
01
Install ComputeArena
Get the ComputeArena CLI for macOS or Linux, then choose BaseRT or llama.cpp as your runtime.
02
Run offline
No account is required. Signed reports remain on your machine until you submit them.
03
Submit when ready
Sign in, review the data in your saved reports, and submit the benchmarks you want to share publicly.
Leaderboard
Model × quantisation × chip
Headline rankings compare compatible PP512 prefill and TG128 decode workloads. The measured workload is shown beside every result.
184 matching configurations