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Speed test matrix

Llama-3.2-3B-Instruct-FP8-dynamic on RTX 3060 12GB

vllm · 0.32.0 · FP8 dynamic4 contexts (0–48K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 48K
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
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 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 RedHatAI/Llama-3.2-3B-Instruct-FP8-dynamic --max-model-len 57344 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code

Prefill

prompt tok/s by context length
8K context3,2652,515 ms TTFT
16K context2,6806,056 ms TTFT
32K context2,00516,098 ms TTFT
48K context1,59330,356 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
077.849 ms TTFT146.673 ms TTFT267.284 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacity
16K51.8156 ms TTFT77.2189 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K38.7239 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
48K30.7362 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
Prefill8K1Valid3,265.0—2,515 ms——1——
Prefill16K1Valid2,680.0—6,056 ms——1——
Prefill32K1Valid2,005.0—16,098 ms——1——
Prefill48K1Valid1,593.0—30,356 ms——1——
Sustained decode01Valid77.878.649 ms12.7 ms1.002,33330.0 s
Sustained decode02Valid146.674.373 ms13.5 ms2.004,39730.0 s
Sustained decode04Valid267.268.584 ms14.6 ms4.008,01230.0 s
Sustained decode08Over capacity————————
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid51.852.0156 ms19.2 ms1.001,55430.0 s
Sustained decode16K2Valid77.238.7189 ms25.8 ms2.002,31630.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid38.738.7239 ms25.8 ms1.001,15930.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode48K1Valid30.730.8362 ms32.5 ms1.0092130.0 s
Sustained decode48K2Over capacity————————
Sustained decode48K4Over capacity————————
Sustained decode48K8Over capacity————————
Sustained decode48K16Over capacity————————
Sustained decode48K32Over capacity————————
Sustained decode48K64Over capacity————————
Sustained decode48K128Over capacity————————

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