qwen2.5-coder on RTX 3090 (24GB) + AMD EPYC 7663 56-Core Processor (56c) + 252GB
RTX 3090 (24GB) + AMD EPYC 7663 56-Core Processor (56c) + 252GB
suite suite-v1
cli 0.0.3
signedi2Roip+TUP…
Embed badgesubmitted Jul 02, 2026Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | ollama@0.31.1 | qwen2.5-coderQ4_K_M | 39.86tok/s | 2.83tok/s | 46,337ms | 7.1ms | 7.3ms |
| chat-long | ollama@0.31.1 | qwen2.5-coderQ4_K_M | 135.0tok/s | 3,319.4tok/s | 954ms | 7.4ms | 7.6ms |
| concurrent-decode | ollama@0.31.1 | qwen2.5-coderQ4_K_M | 139.2tok/s | — | — | 7.2ms | 7.3ms |
| agent-trace | ollama@0.31.1 | qwen2.5-coderQ4_K_M | 134.2tok/s | 4,111.1tok/s | 487ms | 7.5ms | 7.7ms |
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$ pipx install llm-speed && llm-speed bench --model 'qwen2.5-coder' --workload 'concurrent-decode'
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_pb0jpnbujji)Related benchmarks
- More qwen2.5-coder benchmarks — every backend and rig that has run this model.
- More RTX 3090 (24GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_pb0jpnbujji
- Fingerprint hash
- Public key
- i2Roip+TUPwEFd03man/aR9MFyjxYHpCVeBLJRo7qAY=
- Received
- 2026-07-02 04:36:59