inference/research
verifiedmedium · 0.75updated 2026-10-16

llama.cpp CUDA on RTX 3080 10GB: Llama-2-7B Q4_0 FA-off pp512 prefill tok/s

5013.86 tok/s (pp512, per-request, batch 1)

Fields

id
benchmarks/llamacpp-cuda-rtx-3080-10gb-llama27b-q40-nofa-pp512
Metric
prefill_tok_s
Value
5,013.86
Unit
tok/s (pp512, per-request, batch 1)
Model
llama-2-7b.Q4_0.gguf (TheBloke, 3.56 GiB, 6.74B params)
Methodology
COMMUNITY-SCOREBOARD (llama.cpp discussion #15013, maintainer-curated CUDA backend). llama-bench llama-2-7b.Q4_0.gguf, ngl=99, -fa 0. RTX 3080 10GB. Build commit 9c35706, reporter @slaren. llama-bench default repeats, mean. Single device, per-request batch-1, NOT aggregate.
Measured by
third_party
Reproducible
yes
notes
Paired with the other row from the same run.

Notes

Paired with the other row from the same run.

Cross-references