llama3.1 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
signedcD0uD8ij6g…
Embed badgesubmitted Jul 02, 2026Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | ollama@0.31.1 | llama3.1Q4_K_M | 136.2tok/s | 2.20tok/s | 49,960ms | 7.3ms | 7.4ms |
| chat-long | ollama@0.31.1 | llama3.1Q4_K_M | 127.5tok/s | 3,004.3tok/s | 1,044ms | 7.8ms | 7.9ms |
| concurrent-decode | ollama@0.31.1 | llama3.1Q4_K_M | 133.9tok/s | — | — | 7.4ms | 7.5ms |
| agent-trace | ollama@0.31.1 | llama3.1Q4_K_M | 127.5tok/s | 3,475.9tok/s | 527ms | 7.7ms | 8.0ms |
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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 'llama3.1' --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_9hurqggbshk)Related benchmarks
- More llama3.1 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_9hurqggbshk
- Fingerprint hash
- Public key
- cD0uD8ij6g6qA1fWma0AqC9s5AkXpxfngW/Hw06NLYI=
- Received
- 2026-07-02 04:44:14