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Submit a benchmark

Paste your runlocalai-bench terminal output. We'll auto-parse model, cold-start, median tok/s, P5/P95, variance, OS, runtime. You pick the hardware, optionally add a name. Submit in 30 seconds.

Editorial review still applies — same review queue as the full form. Submissions are queued, not auto-published.

Step 1 — Run the bench

On the machine with the model loaded. ~2 minutes for 5 runs.

# One-liner, no install:
curl -fsSL https://www.runlocalai.co/bench.mjs | node --model llama3.1:8b

# Or download + customize:
curl -fsSL https://www.runlocalai.co/bench.mjs -o bench.mjs
node bench.mjs --model qwen3:14b --prompt "Explain attention"

Want even less friction? Run with --submit and the bench CLI ships directly via API. Use this page when you want to review the values before they hit the queue.

Step 2 — Paste, pick hardware, submit

Paste the full terminal output below. Auto-detection lights up the fields. Pick the matching hardware. Hit submit.

Paste output, pick hardware + model to enable submit.

What gets stored

Your submission lands in the editorial review queue. Nothing auto-publishes. When approved, it appears on:

  • The model's detail page (/models/<slug>) as a measured benchmark
  • The hardware's detail page (/hardware/<slug>) and the leaderboard's confidence chip
  • The community benchmarks feed
  • The cost calculator and quant advisor — your measurement replaces our bandwidth-derived estimate for the exact model × hardware × quant combo you ran

Your IP is hashed daily (never stored raw). Email is optional and only used to contact you with reproduction questions. See privacy for the full handling policy.