Llama 2 7B on the NVIDIA RTX 5090
Best measured: 300 tokens/s generation and 14,970 tokens/s prompt processing (Q4_0, CUDA, FA on).
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q4_0 | CUDA FA on | 300 | 14,970 | tg128 | 8cf6b42 @totaldev | llama.cpp CUDA scoreboard (#15013) |
| Q4_0 | CUDA FA off | 290 | 14,073 | tg128 | 8cf6b42 @totaldev | llama.cpp CUDA scoreboard (#15013) |
| Q4_0 | Vulkan FA on | 274 | 11,796 | tg128 | ca71fb9 coopmat2 | llama.cpp Vulkan scoreboard (#10879) |
| Q4_0 | Vulkan FA off | 264 | 10,382 | tg128 | ca71fb9 coopmat2 | llama.cpp Vulkan scoreboard (#10879) |
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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