inference/research
verifiedmedium · 0.80updated 2026-10-16

llama.cpp CUDA on nvidia-quadro-rtx-6000: Llama-2-7B Q4_0 FA-on pp512 prefill tok/s (scoreboard #15013)

2941.85 tok/s (pp512, batch 512)

Fields

id
benchmarks/llamacpp-cuda-quadro-rtx-6000-llama27b-q40-fa-pp512
Metric
prefill_tok_s
Value
2,941.85
Unit
tok/s (pp512, batch 512)
Model
llama-2-7b.Q4_0.gguf (TheBloke, 3.56 GiB, 6.74B params)
Methodology
COMMUNITY-SCOREBOARD (llama.cpp discussion #15013, maintainer-curated). llama-bench -m llama-2-7b.Q4_0.gguf -ngl 99 -fa 1, prompt length 512 tokens, no generation. llama-bench default -r 5 repeats, mean reported. Single GPU, one request, NOT an aggregate across concurrent requests. pp512 tracks compute rather than bandwidth. Re-read of the discussion page on 2026-10-16.
Measured by
third_party
Reproducible
yes
notes
Quadro RTX 6000, build 1e74897, reporter @Hedede. Prefill cell of the same row as the tg128 record for this card.

Notes

Quadro RTX 6000, build 1e74897, reporter @Hedede. Prefill cell of the same row as the tg128 record for this card.

Cross-references