Geerling llama.cpp Vulkan on rtxa4000 (pc host): llama-2-7b Q4_K_M pp4096 2896.74 tok/s
2896.74 tok/s (pp4096)
Fields
id
benchmarks/geerling-vulkan-rtxa4000-pc-llama-2-7b-q4km-pp4096Metric
prefill_tok_s
Value
2,896.74
Unit
tok/s (pp4096)
Model
llama-2-7b.Q4_K_M.gguf (3.80 GiB, 6.74 B params)
Methodology
THIRD-PARTY MEASURED (Jeff Geerling, geerlingguy/ai-benchmarks). llama.cpp build not printed, backend Vulkan, default llama-bench flags (ngl 99). Host: Intel Core Ultra 265K, 64GB DDR5, Ubuntu 25.10. Model file size 3.80 GiB, 6.74 B params, Q4_K_M. prefill tok/s, prompt length 4096, per-request, batch 1. NOT aggregate. Whole-system wall power during the run 296.1 W (node scope, not device).
Measured by
third_party
Reproducible
yes
Mean power (W)
296.1
Power scope
node
Thermal state
unknown
notes
Source issue prints the llama-bench mean and the +/- spread; the stored value is the mean. The Pi-host rows are the same physical GPU on a PCIe-constrained host, so they are not a card ceiling.
Notes
Source issue prints the llama-bench mean and the +/- spread; the stored value is the mean. The Pi-host rows are the same physical GPU on a PCIe-constrained host, so they are not a card ceiling.