Llama 2 7B on the NVIDIA RTX 3060
Best measured: 80.6 tokens/s generation and 2,013 tokens/s prompt processing (Q4_0, Vulkan, FA on).
Every run
| Quant | Backend | Generate tok/s | Prompt tok/s | Test | Build / by / notes | Source |
|---|---|---|---|---|---|---|
| Q4_0 | Vulkan FA on | 80.6 | 2,013 | tg128 | 92c0b38 coopmat2 | llama.cpp Vulkan scoreboard (#10879) |
| Q4_0 | CUDA FA on | 76.9 | 2,408 | tg128 | baa9255 @QuantiusBenignus | llama.cpp CUDA scoreboard (#15013) |
| Q4_0 | Vulkan FA off | 75.9 | 1,816 | tg128 | 92c0b38 coopmat2 | llama.cpp Vulkan scoreboard (#10879) |
| Q4_0 | CUDA FA off | 75.6 | 2,138 | tg128 | baa9255 @QuantiusBenignus | llama.cpp CUDA scoreboard (#15013) |
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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