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Speed test matrix

internlm_internlm3-8b-instruct-autoround-int8-gs128-sym on RTX 3090 24GB

vllm · 0.32.0 · AutoRound INT8 W8A16 gs1283 contexts (0–24K) × 8 concurrency levels (1–128) · prefill at 8K, 16K, 24K
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
AutoRound INT8 W8A16 gs128
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 fbaldassarri/internlm_internlm3-8b-instruct-autoround-int8-gs128-sym --max-model-len 32768 --gpu-memory-utilization 0.94 --max-num-seqs 128 --enable-prefix-caching --trust-remote-code --hf-overrides {"quantization_config":{"quant_method":"gptq","bits":8,"group_size":128,"sym":true,"desc_act":false,"lm_head":false}}

Prefill

prompt tok/s by context length
8K context4,9612,021 ms TTFT
16K context4,1584,780 ms TTFT
24K context3,5608,346 ms TTFT

Sustained decode

total tok/s · rows are context length, columns are simultaneous requests
Context1248163264128
079.833 ms TTFT159.029 ms TTFT313.136 ms TTFT604.043 ms TTFT1,127.162 ms TTFTOver capacityOver capacityOver capacity
16K71.971 ms TTFT135.295 ms TTFT254.1166 ms TTFT431.9259 ms TTFTOver capacityOver capacityOver capacityOver capacity
24K67.9129 ms TTFT127.3166 ms TTFT232.5254 ms TTFTOver 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
Prefill8K1Valid4,961.0—2,021 ms——1——
Prefill16K1Valid4,158.0—4,780 ms——1——
Prefill24K1Valid3,560.0—8,346 ms——1——
Sustained decode01Valid79.879.933 ms12.5 ms1.002,39530.0 s
Sustained decode02Valid159.079.729 ms12.5 ms2.004,77030.0 s
Sustained decode04Valid313.178.636 ms12.7 ms4.009,39230.0 s
Sustained decode08Valid604.076.243 ms13.1 ms8.0018,12030.0 s
Sustained decode016Valid1,127.171.562 ms14.0 ms16.0033,80830.0 s
Sustained decode032Over capacity————————
Sustained decode064Over capacity————————
Sustained decode0128Over capacity————————
Sustained decode16K1Valid71.972.071 ms13.9 ms1.002,15730.0 s
Sustained decode16K2Valid135.267.795 ms14.8 ms2.004,05630.0 s
Sustained decode16K4Valid254.163.7166 ms15.7 ms4.007,62030.0 s
Sustained decode16K8Valid431.954.1259 ms18.5 ms8.0012,95230.0 s
Sustained decode16K16Over capacity————————
Sustained decode16K32Over capacity————————
Sustained decode16K64Over capacity————————
Sustained decode16K128Over capacity————————
Sustained decode24K1Valid67.968.0129 ms14.7 ms1.002,03730.0 s
Sustained decode24K2Valid127.363.6166 ms15.7 ms2.003,81830.0 s
Sustained decode24K4Valid232.558.1254 ms17.2 ms4.006,97230.0 s
Sustained decode24K8Over capacity————————
Sustained decode24K16Over capacity————————
Sustained decode24K32Over capacity————————
Sustained decode24K64Over capacity————————
Sustained decode24K128Over capacity————————

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