Qwen2.5-Coder-14B-Instruct on RTX 5090 (32GB) + AMD EPYC 7543 32-Core Processor (120c) + 945GB
MeasuredOn 2026-10-17, Qwen2.5-Coder-14B-Instruct Q4_K_M ran at 137.3 tok/s (chat-short) on an RTX 5090 (32GB) with llama.cpp. Run r_xnr_k4emoyr.
RTX 5090 (32GB) + AMD EPYC 7543 32-Core Processor (120c) + 945GB
suite suite-v1
cli 0.0.7
signedALTbp+5rYi…
Embed badgesubmitted Oct 17, 2026Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | llama.cpp@0.7.0-dev (build 1, commit 1268eda) | Qwen2.5-Coder-14B-InstructQ4_K_M | 137.3tok/s | 2,016.9tok/s | 65.0ms | 7.2ms | 7.4ms |
| chat-long | llama.cpp@0.7.0-dev (build 1, commit 1268eda) | Qwen2.5-Coder-14B-InstructQ4_K_M | 128.9tok/s | 5,987.2tok/s | 529ms | 7.7ms | 8.0ms |
| concurrent-decode | llama.cpp@0.7.0-dev (build 1, commit 1268eda) | Qwen2.5-Coder-14B-InstructQ4_K_M | 136.7tok/s | — | — | 7.3ms | 7.5ms |
| agent-trace | llama.cpp@0.7.0-dev (build 1, commit 1268eda) | Qwen2.5-Coder-14B-InstructQ4_K_M | 128.2tok/s | 18,881.9tok/s | 113ms | 7.7ms | 8.2ms |
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https://llm-speed.com/r/r_xnr_k4emoyrRelated benchmarks
- More Qwen2.5-Coder-14B-Instruct benchmarks — every backend and rig that has run this model.
- More RTX 5090 (32GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_xnr_k4emoyr
- Fingerprint hash
- Public key
- ALTbp+5rYiqL7YHDP54GtVb/NG0Q5qKUZk5eG9jL9wc=
- Received
- 2026-10-17 10:01:15