llama3.1 on RTX 4090 (48GB) + AMD EPYC 7763 64-Core Processor (128c) + 1008GB
RTX 4090 (48GB) + AMD EPYC 7763 64-Core Processor (128c) + 1008GB
suite suite-v1
cli 0.0.3
signedRh0oI3MkU2…
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 | 154.4tok/s | 328.0tok/s | 335ms | 6.5ms | 6.6ms |
| chat-long | ollama@0.31.1 | llama3.1Q4_K_M | 146.3tok/s | 5,032.5tok/s | 623ms | 6.8ms | 6.9ms |
| concurrent-decode | ollama@0.31.1 | llama3.1Q4_K_M | 154.2tok/s | — | — | 6.5ms | 6.5ms |
| agent-trace | ollama@0.31.1 | llama3.1Q4_K_M | 149.4tok/s | 5,377.5tok/s | 387ms | 6.6ms | 6.9ms |
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 '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_h1ub_1uxzdh)Related benchmarks
- More llama3.1 benchmarks — every backend and rig that has run this model.
- More RTX 4090 (48GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_h1ub_1uxzdh
- Fingerprint hash
- Public key
- Rh0oI3MkU2qQjlZNTW9OWkLkQFfciipMknIuJzj+LZY=
- Received
- 2026-07-02 06:47:15