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Speed test matrix

gemma-4-12B-it-FP8-Dynamic on RTX 3090 24GB

vllm · 0.32.0 · FP8 dynamic6 contexts (0–248K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 64K, 128K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
RTX 3090
VRAM
24 GB
CPU
AMD Ryzen 9 7900X (12C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
FP8 dynamic
Backend
cuda
Build
vllm/vllm-openai:v0.32.0-x86_64

Run

Served model
bench
Revision
main
Decode test
Fixed duration
Prefill mode
Measured during decode warm-up
Time per measurement
30 s
Max output
8,192 tokens

Launch command

# Untuned out-of-the-box baseline. Spec decode: none
# 1x RTX 3090 24GB (Zagitta/gpu-unlock), 350 W limit (VBIOS max), PCIe Gen4 x16 | AMD Ryzen 9 7900X 12C | 32 GB DDR5 | Ubuntu 24.04.5, NVIDIA driver 595.99.02
vllm serve RedHatAI/gemma-4-12B-it-FP8-Dynamic --max-model-len 262144 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code --language-model-only

Prefill

prompt tok/s by context length
8K context3,3852,367 ms TTFT
16K context2,9305,417 ms TTFT
32K context2,30213,726 ms TTFT
64K context1,61838,953 ms TTFT
128K context1,019123,529 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
056.935 ms TTFT110.746 ms TTFT209.847 ms TTFT381.158 ms TTFT650.7121 ms TTFT923.8Requests queued104 ms TTFTOver capacityOver capacity
16K49.970 ms TTFTLooped189.7146 ms TTFTLoopedOver capacityOver capacityOver capacityOver capacity
32K46.5120 ms TTFT92.1156 ms TTFTLoopedOver capacityOver capacityOver capacityOver capacityOver capacity
64KLooped84.8293 ms TTFTLoopedOver capacityOver capacityOver capacityOver capacityOver capacity
128KLoopedLoopedOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
248K28.9Requests queued1,011 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

Requests queued: the server could not run all requests at once, so some waited in a queue. Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.

TTFT is measured after the benchmark warms the server's prompt cache, so it mostly excludes prefill.

All measurements

Latencies are medians. Total tok/s is output across all simultaneous requests.
PhaseContextRequests at onceStatusTotal tok/sPer request tok/sTTFTTime between tokensAverage active requestsCompleted requestsOutput tokensMeasured for
Prefill8K1Valid3,385.0—2,367 ms——1——
Prefill16K1Valid2,930.0—5,417 ms——1——
Prefill32K1Valid2,302.0—13,726 ms——1——
Prefill64K1Valid1,618.0—38,953 ms——1——
Prefill128K1Valid1,019.0—123,529 ms——1——
Sustained decode01Valid56.957.135 ms17.5 ms1.001,70730.0 s
Sustained decode02Valid110.755.746 ms17.9 ms2.003,32130.0 s
Sustained decode04Valid209.853.047 ms18.9 ms4.006,29230.0 s
Sustained decode08Valid381.148.558 ms20.6 ms8.0011,43230.0 s
Sustained decode016Valid650.742.0121 ms23.8 ms16.0019,52030.0 s
Sustained decode032Requests queued923.836.3104 ms27.5 ms26.5027,69130.0 s
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid49.950.070 ms20.0 ms1.001,49630.0 s
Sustained decode16K2Looped—————00—
Sustained decode16K4Valid189.747.6146 ms21.0 ms4.005,68830.0 s
Sustained decode16K8Looped—————00—
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid46.546.5120 ms21.5 ms1.001,39430.0 s
Sustained decode32K2Valid92.146.0156 ms21.7 ms2.002,76230.0 s
Sustained decode32K4Looped—————00—
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode64K1Looped—————00—
Sustained decode64K2Valid84.842.4293 ms23.6 ms2.002,54230.0 s
Sustained decode64K4Looped—————00—
Sustained decode64K8Over capacity————————
Sustained decode64K16Over capacity————————
Sustained decode64K32Over capacity————————
Sustained decode64K64Over capacity————————
Sustained decode64K128Over capacity————————
Sustained decode128K1Looped—————00—
Sustained decode128K2Looped—————00—
Sustained decode128K4Over capacity————————
Sustained decode128K8Over capacity————————
Sustained decode128K16Over capacity————————
Sustained decode128K32Over capacity————————
Sustained decode128K64Over capacity————————
Sustained decode128K128Over capacity————————
Sustained decode248K1Requests queued28.929.41,011 ms34.0 ms1.0086830.0 s
Sustained decode248K2Over capacity————————
Sustained decode248K4Over capacity————————
Sustained decode248K8Over capacity————————
Sustained decode248K16Over capacity————————
Sustained decode248K32Over capacity————————
Sustained decode248K64Over capacity————————
Sustained decode248K128Over capacity————————

Requests queued: the server could not run all requests at once, so some waited in a queue. Looped: the model kept repeating the same text, so the benchmark discarded this measurement. Over capacity: not run because this many requests at this context would exceed the server's KV cache.