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

llama.cpp CUDA on nvidia-rtx-pro-4500-blackwell: Llama-2-7B Q4_0 FA-on tg128 decode tok/s (scoreboard #15013)

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

Fields

id
benchmarks/llamacpp-cuda-rtx-pro-4500-blackwell-llama27b-q40-fa-tg128
Metric
decode_tok_s
Value
168.9
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). llama-bench -m llama-2-7b.Q4_0.gguf -ngl 99 -fa 1. llama-bench default -r 5 repeats, mean reported (the +/- std is in the source row, not stored). Single GPU, per-request batch 1, NOT an aggregate across concurrent requests. Prompt length is the bench default for the tg test (the scored quantity is the 128 generated tokens). Re-read of the discussion page on 2026-10-16.
Measured by
third_party
Reproducible
yes
notes
RTX PRO 4500 Blackwell, 32 GB / GDDR7 / 256 bit, build becc481, reporter @Hedede. The pp512 sibling of this row was already stored; the tg128 cell was not. Maintainer-verified row. tg128 is the bandwidth-bound cell of the pair.

Notes

RTX PRO 4500 Blackwell, 32 GB / GDDR7 / 256 bit, build becc481, reporter @Hedede. The pp512 sibling of this row was already stored; the tg128 cell was not. Maintainer-verified row. tg128 is the bandwidth-bound cell of the pair.

Cross-references