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Speed test matrix

granite-4.2-3b-fp8 on RTX 3060 12GB

vllm · 0.32.0 · FP84 contexts (0–64K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 32K, 64K
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
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 ibm-granite/granite-4.2-3b-fp8 --max-model-len 73728 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code

Prefill

prompt tok/s by context length
8K context2,8412,886 ms TTFT
16K context2,2947,068 ms TTFT
32K context1,69519,039 ms TTFT
64K context1,10558,254 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
074.556 ms TTFT141.665 ms TTFT263.055 ms TTFT478.074 ms TTFTOver capacityOver capacityOver capacityOver capacity
16K54.7152 ms TTFT86.1230 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
32K43.2255 ms TTFTOver capacityOver capacityOver capacityOver capacityOver capacityOver capacityOver capacity
64K30.2504 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
Prefill8K1Valid2,841.0—2,886 ms——1——
Prefill16K1Valid2,294.0—7,068 ms——1——
Prefill32K1Valid1,695.0—19,039 ms——1——
Prefill64K1Valid1,105.0—58,254 ms——1——
Sustained decode01Valid74.575.156 ms13.3 ms1.002,23430.0 s
Sustained decode02Valid141.671.665 ms14.0 ms2.004,24730.0 s
Sustained decode04Valid263.067.055 ms14.9 ms4.007,88730.0 s
Sustained decode08Valid478.061.874 ms16.2 ms8.0014,33630.0 s
Sustained decode016Over capacity————————
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid54.754.8152 ms18.2 ms1.001,64030.0 s
Sustained decode16K2Valid86.143.1230 ms23.2 ms2.002,58230.0 s
Sustained decode16K4Over capacity————————
Sustained decode16K8Over capacity————————
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode32K1Valid43.243.3255 ms23.1 ms1.001,29730.0 s
Sustained decode32K2Over capacity————————
Sustained decode32K4Over capacity————————
Sustained decode32K8Over capacity————————
Sustained decode32K16Over capacity————————
Sustained decode32K32Over capacity————————
Sustained decode32K64Over capacity————————
Sustained decode32K128Over capacity————————
Sustained decode64K1Valid30.230.4504 ms32.9 ms1.0090730.0 s
Sustained decode64K2Over capacity————————
Sustained decode64K4Over capacity————————
Sustained decode64K8Over capacity————————
Sustained decode64K16Over capacity————————
Sustained decode64K32Over capacity————————
Sustained decode64K64Over capacity————————
Sustained decode64K128Over capacity————————

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