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

llama.cpp CUDA on RTX A5000 24GB: Llama-2-7B Q4_0 FA-off tg128 decode tok/s

130.07 tok/s (tg128, per-request, batch 1)

Fields

id
benchmarks/llamacpp-cuda-rtx-a5000-llama27b-q40-nofa-tg128
Metric
decode_tok_s
Value
130.07
Unit
tok/s (tg128, 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 A5000 24GB. Build commit e5155e6, reporter @Hedede. 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