r1 on RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB
RTX 4090 (24GB) + AMD EPYC 75F3 32-Core Processor (64c) + 504GB
suite suite-v1
cli 0.0.3
signedQJfdoJUd8u…
Embed badgesubmitted Jul 02, 2026Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | ollama@0.31.1 | deepseek-r1Q4_K_M | — | — | — | — | — |
| chat-long | ollama@0.31.1 | deepseek-r1Q4_K_M | 131.9tok/s | 686.3tok/s | 4,578ms | 7.5ms | 7.8ms |
| concurrent-decode | ollama@0.31.1 | deepseek-r1Q4_K_M | — | — | — | — | — |
| agent-trace | ollama@0.31.1 | deepseek-r1Q4_K_M | 133.8tok/s | 8,852.4tok/s | 366ms | 7.4ms | 7.7ms |
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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 'deepseek-r1' --workload 'agent-trace'
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_fg77v2hhohb)Related benchmarks
- More r1 benchmarks — every backend and rig that has run this model.
- More RTX 4090 (24GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_fg77v2hhohb
- Fingerprint hash
- Public key
- QJfdoJUd8uREJht6zpSv8kI7C22vMATo71AOL/CaMFw=
- Received
- 2026-07-02 14:46:08