gpu4.pics
data via LocalScore
NVIDIA RTX 3090
llamafile 0.9.1
24 GB VRAM NVIDIA 350 W TDP
running Qwen2.5 14B Instruct· Q4_K_M· 14.8B
59.9
tokens / sec
573 · Strong
Generation
59.9tok/s
higher is better
Prompt / prefill
2,005tok/s
higher is better
Time to first token
640 ms
lower is better
Efficiency
0.18 tok/s/W
Electricity cost
$0.259/Mtok
Power draw
329 W
AMD EPYC 7352 24-Core Processor (znver2) · 126 GB RAM · Linux · llamafile
gpu4.pics/r/ls-result-2

All benchmarks on this rig

ModelQuantGenPromptTTFTPowerPerf/W$/MtokScore
Qwen2.5 14B Instruct14.8BQ4_K_M59.92,005640 ms329 W0.18 tok/s/W$0.259/Mtok573

How it stacks up — Qwen2.5 14B Instruct

NVIDIA RTX 3090
59.9
NVIDIA H100
72.2
NVIDIA RTX PRO 6000 Blackwell Workstation Edition
70.8
NVIDIA A100 80GB
66.3
NVIDIA RTX 3090 Ti
64.2
NVIDIA RTX A6000
52
NVIDIA RTX 4090
49.1