Qwen3-4B-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/Qwen3-4B-Instruct-2507-4bit | 182.7tok/s | 636.6tok/s | 173ms | 5.5ms | 5.6ms |
| chat-long | mlx@0.31.3 | mlx-community/Qwen3-4B-Instruct-2507-4bit | 147.0tok/s | 1,913.7tok/s | 1,644ms | 6.8ms | 6.9ms |
| concurrent-decode | mlx@0.31.3 | mlx-community/Qwen3-4B-Instruct-2507-4bit | 168.4tok/s | — | — | 5.9ms | 6.1ms |
| agent-trace | mlx@0.31.3 | mlx-community/Qwen3-4B-Instruct-2507-4bit | 160.8tok/s | 1,913.6tok/s | 1,091ms | 6.2ms | 6.7ms |
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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/Qwen3-4B-Instruct-2507-4bit' --workload 'chat-short'
Runs in about a minute. Your number lands on the leaderboard signed and linkable. How it's measured.
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[](https://llm-speed.com/r/r_p2rpb_0iyjj)Related benchmarks
- More Qwen3-4B-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_p2rpb_0iyjj
- Fingerprint hash
- bbf15132ccbbe7d7
- Public key
- G8xb3zMu3+pznEici/TiW0gPk5qSNIYIikGCwm1rMdQ=
- Received
- 2026-07-12 10:12:31