Qwen3-30B-A3B-Instruct-2507-4bit on M3 Ultra (60-core GPU) + 96GB unified
M3 Ultra (60-core GPU) + 96GB unified
suite suite-v1
cli 0.0.3
signedG8xb3zMu3+…
Embed badgesubmitted Jul 12, 2026Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | mlx@0.31.3 | mlx-community/Qwen3-30B-A3B-Instruct-2507-4bit | 112.5tok/s | 308.7tok/s | 356ms | 8.8ms | 9.3ms |
| chat-long | mlx@0.31.3 | mlx-community/Qwen3-30B-A3B-Instruct-2507-4bit | 96.37tok/s | 1,885.2tok/s | 1,669ms | 10.3ms | 10.6ms |
| concurrent-decode | mlx@0.31.3 | mlx-community/Qwen3-30B-A3B-Instruct-2507-4bit | 105.9tok/s | — | — | 9.4ms | 9.7ms |
| agent-trace | mlx@0.31.3 | mlx-community/Qwen3-30B-A3B-Instruct-2507-4bit | 101.3tok/s | 1,978.0tok/s | 1,057ms | 9.8ms | 10.4ms |
Reproduce on your machine
Same workload, same model, signed at your rig. The exact command that produced this run:
$ pipx install llm-speed && llm-speed bench --model 'mlx-community/Qwen3-30B-A3B-Instruct-2507-4bit' --workload 'chat-short'
Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.
Embed this run
Drop the badge into a README, blog post, or signature. Each render is a backlink to the signed result.
[](https://llm-speed.com/r/r_o6wbmfegmde)Related benchmarks
- More Qwen3-30B-A3B-Instruct-2507-4bit benchmarks — every backend and rig that has run this model.
- More M3 Ultra (60-core GPU) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_o6wbmfegmde
- Fingerprint hash
- bbf15132ccbbe7d7
- Public key
- G8xb3zMu3+pznEici/TiW0gPk5qSNIYIikGCwm1rMdQ=
- Received
- 2026-07-12 10:25:53