Geerling llama.cpp Vulkan on rtxa4000 (pi host): deepseek-r1-distill-qwen-14b Q4_K_M tg128 32.72 tok/s
32.72 tok/s (tg128)
Fields
id
benchmarks/geerling-vulkan-rtxa4000-pi-deepseek-r1-distill-qwen-14b-q4km-tg128Metric
decode_tok_s
Value
32.72
Unit
tok/s (tg128)
Model
DeepSeek-R1-Distill-Qwen-14B-Q4_K_M.gguf (8.37 GiB, 14.77 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: Raspberry Pi CM5 16GB, Pi OS Trixie, PCIe-attached card. Model file size 8.37 GiB, 14.77 B params, Q4_K_M. tg128 mean decode tok/s, per-request, batch 1, generation length 128. NOT aggregate. Whole-system wall power during the run 88.2 W (node scope, not device).
Measured by
third_party
Reproducible
yes
Mean power (W)
88.2
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.