Llama-3.3-70B-Instruct on 2x RTX 3090 (24GB) + AMD EPYC 7H12 64-Core Processor (128c) + 1008GB
MeasuredOn 2026-10-17, Llama-3.3-70B-Instruct Q4_K_M ran at 19.1 tok/s (chat-short) on an RTX 3090 (24GB) with llama.cpp. Run r_n93ukk0mkmm.
2x RTX 3090 (24GB) + AMD EPYC 7H12 64-Core Processor (128c) + 1008GB
suite suite-v1
cli 0.0.7
signedRztJJS8IOp…
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 f74e2fa) | Llama-3.3-70B-InstructQ4_K_M | 19.14tok/s | 415.4tok/s | 325ms | 52.1ms | 52.6ms |
| chat-long | llama.cpp@0.7.0-dev (build 1, commit f74e2fa) | Llama-3.3-70B-InstructQ4_K_M | 18.69tok/s | 939.3tok/s | 3,366ms | 53.5ms | 53.8ms |
| concurrent-decode | llama.cpp@0.7.0-dev (build 1, commit f74e2fa) | Llama-3.3-70B-InstructQ4_K_M | 19.00tok/s | — | — | 52.5ms | 53.0ms |
| agent-trace | llama.cpp@0.7.0-dev (build 1, commit f74e2fa) | Llama-3.3-70B-InstructQ4_K_M | 18.85tok/s | 2,028.8tok/s | 1,037ms | 52.9ms | 53.7ms |
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https://llm-speed.com/r/r_n93ukk0mkmmRelated benchmarks
- More Llama-3.3-70B-Instruct benchmarks — every backend and rig that has run this model.
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Provenance
- Run ID
- r_n93ukk0mkmm
- Fingerprint hash
- Public key
- RztJJS8IOpFe3HjLG6wbIohCTNmN7Zysy8TL7B/Sj0Y=
- Received
- 2026-10-17 05:57:43