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Speed test matrix

gemma-4-E4B-it on RTX 3090 24GB

vllm · 0.32.0 · BF165 contexts (0–104K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 64K, 104K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
RTX 3090
VRAM
24 GB
CPU
Intel Core i7-9700K (8C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
BF16
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), 420 W limit, PCIe Gen3 x16 | Intel Core i7-9700K 8C | 32 GB DDR4 | Ubuntu 24.04.5, NVIDIA driver 580.178.04
vllm serve google/gemma-4-e4b-it --max-model-len 114688 --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 context10.2K787 ms TTFT
16K context8,5931,847 ms TTFT
32K context6,5674,811 ms TTFT
64K context4,44214,188 ms TTFT
104K context3,16232,364 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
074.923 ms TTFT149.427 ms TTFT294.139 ms TTFT563.345 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K65.079 ms TTFTLooped252.6148 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
32K61.8151 ms TTFT123.4192 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
64K56.3313 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
104K50.7542 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

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
Prefill8K1Valid10.2K—787 ms——1——
Prefill16K1Valid8,593.0—1,847 ms——1——
Prefill32K1Valid6,567.0—4,811 ms——1——
Prefill64K1Valid4,442.0—14,188 ms——1——
Prefill104K1Valid3,162.0—32,364 ms——1——
Sustained decode01Valid74.975.223 ms13.3 ms1.002,24730.0 s
Sustained decode02Valid149.475.027 ms13.3 ms2.004,48430.0 s
Sustained decode04Valid294.173.939 ms13.5 ms4.008,82030.0 s
Sustained decode08Valid563.371.045 ms14.1 ms8.0016,89630.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid65.065.179 ms15.4 ms1.001,95130.0 s
Sustained decode16K2Looped—————00—
Sustained decode16K4Valid252.663.2148 ms15.8 ms4.007,57630.0 s
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid61.861.9151 ms16.2 ms1.001,85330.0 s
Sustained decode32K2Valid123.461.8192 ms16.2 ms2.003,70030.0 s
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode64K1Valid56.356.4313 ms17.7 ms1.001,68730.0 s
Sustained decode64K2Over capacity————————
Sustained decode64K4Over capacity————————
Sustained decode64K8Over capacity————————
Sustained decode64K16Over capacity————————
Sustained decode64K32Over capacity————————
Sustained decode64K64Over capacity————————
Sustained decode64K128Over capacity————————
Sustained decode104K1Valid50.750.8542 ms19.7 ms1.001,52030.0 s
Sustained decode104K2Over capacity————————
Sustained decode104K4Over capacity————————
Sustained decode104K8Over capacity————————
Sustained decode104K16Over capacity————————
Sustained decode104K32Over capacity————————
Sustained decode104K64Over capacity————————
Sustained decode104K128Over capacity————————

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.