gpt-oss 20B › NVIDIA DGX Spark (GB10)
gpt-oss 20B on the NVIDIA DGX Spark (GB10)
Best measured: 86.0 tokens/s generation and 4,453 tokens/s prompt processing (Q4_K_M, CUDA, FA on).
For comparison, our size-scaling estimate for this combination is 58.6 tok/s.
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q4_K_M | CUDA FA on | 86.0 | 4,453 | tg32 | am17an llama-bench model column: gpt-oss 20B Q4_K - Medium | llama.cpp discussion #16578 |
| MXFP4 | CUDA FA on | 83.4 | 4,506 | tg32 | ggml-org maintainers Benchmarked repo: https://huggingface.co/ggml-org/gpt-oss-20b-GGUF | llama.cpp benches/ (maintainer runs) |
| MXFP4 | CUDA FA on | 84.2 | 3,730 | tg128 | phoyd llama-bench model column: gpt-oss 20B MXFP4 MoE | llama.cpp discussion #15396 |
| MXFP4 | CUDA FA on | 86.2 | – | tg128 | c7b7db044 eugr llama-bench model column: gpt-oss 20B MXFP4 MoE | llama.cpp discussion #16578 |
tg128 = generating 128 tokens; pp512 = reading a 512-token prompt (llama-bench). LocalScore averages several prompt and output lengths, so its numbers run lower than tg128.
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All results for the NVIDIA DGX Spark (GB10) · gpt-oss 20B on other hardware