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Speed test matrix

Qwen3.5-9B-AWQ-4bit on RTX 3060 12GB

vllm · 0.32.0 · W4A16 g323 contexts (0–32K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K
by @Sandbergllm-inference-bench v0.8.0Measured

Hardware

Type
Discrete GPU
GPU
RTX 3060
VRAM
12 GB
CPU
Intel Xeon E5-2680 v4 (14C)
RAM
32 GB
OS
Ubuntu 24.04.5

Engine

Engine
vllm
Version
0.32.0
Quantization
W4A16 g32
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. KV cache: fp8
# 1x RTX 3060 12GB, stock 170 W limit, PCIe Gen3 x16 | Intel Xeon E5-2680 v4 14C | 32 GB DDR4-2400 | Ubuntu 24.04.5, NVIDIA driver 580.178.04
vllm serve cyankiwi/Qwen3.5-9B-AWQ-4bit --max-model-len 40960 --gpu-memory-utilization 0.94 --max-num-seqs 74 --enable-prefix-caching --trust-remote-code --language-model-only --kv-cache-dtype fp8 --max-cudagraph-capture-size 16

Prefill

prompt tok/s by context length
8K context1,5935,115 ms TTFT
16K context1,50210,735 ms TTFT
32K context1,37723,306 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
050.1135 ms TTFT97.8236 ms TTFT187.7285 ms TTFT345.3525 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K48.2330 ms TTFT91.9487 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K46.4560 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity

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
Prefill8K1Valid1,593.0—5,115 ms——1——
Prefill16K1Valid1,502.0—10,735 ms——1——
Prefill32K1Valid1,377.0—23,306 ms——1——
Sustained decode01Valid50.150.1135 ms19.9 ms1.001,50330.0 s
Sustained decode02Valid97.849.0236 ms20.4 ms2.002,93430.0 s
Sustained decode04Valid187.747.0285 ms21.3 ms4.005,62730.0 s
Sustained decode08Valid345.343.3525 ms23.1 ms8.0010,36030.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid48.248.2330 ms20.7 ms1.001,44530.0 s
Sustained decode16K2Valid91.945.9487 ms21.8 ms2.002,75430.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid46.446.5560 ms21.5 ms1.001,39230.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————

Over capacity: not run because this many requests at this context would exceed the server's KV cache.