Llama 2 7B › NVIDIA RTX 5090 Laptop
Llama 2 7B on the NVIDIA RTX 5090 Laptop
Best measured: 158 tokens/s generation and 7,642 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 | 158 | 7,642 | tg128 | 29f1482 @rs38 | llama.cpp CUDA scoreboard (#15013) |
| Q4_0 | CUDA FA off | 156 | 6,667 | tg128 | 29f1482 @rs38 | llama.cpp CUDA scoreboard (#15013) |
| Q4_0 | Vulkan FA on | 154 | 6,011 | tg128 | 4bc272f coopmat2 | llama.cpp Vulkan scoreboard (#10879) |
| Q4_0 | Vulkan FA off | 149 | 5,546 | tg128 | 4bc272f 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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