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Qwen3-8B · Q3_K_S

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AMD Ryzen AI Max+ 395128GBvLLM v0.47L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3-8B (Q3_K_S) on AMD Ryzen AI Max+ 395 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

38.79 tok/s

Decode

Decode speed

186.13 tok/s

Prefill

Prefill speed

0.28 s

TTFT

Time to first token

13.02 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. vLLM · Q3_K_S (current)Decode 38.79 · Prefill 186.13 ·
  2. Ollama · FP16 Decode 14.12 · Prefill 69.25 ·
  3. Ollama · Q3_K_M Decode 34.18 · Prefill 132.79 ·
  4. llama.cpp · FP16 Decode 52.16 · Prefill 223.09 ·
  5. llama.cpp · Q8_0 Decode 70.95 · Prefill 365.06 ·
  6. vLLM · IQ3_S Decode 125.05 · Prefill 672.6 ·
  7. Ollama · IQ3_S Decode 106.51 · Prefill 487.62 ·

Core figures

Decode (avg)
38.79 tok/s
Prefill (avg)
186.13 tok/s
TTFT (avg)
0.28 s
VRAM (avg)
13.02 GB
MTP acceptance rate
—
TTFB
0.31 GB
Power draw
47.1 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3-8B
Quantization
Q3_K_S
Framework
vLLM
Version
v0.47
Context length
32768 tokens
Batch size
8
GPU layers
999
Flash Attention
Off

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
AMD Ryzen AI Max+ 395
Nominal VRAM
128 GB
Measured VRAM (avg)
13.02 GB
OS
Ubuntu 22.04
Driver
amdgpu 6.12
CUDA
12.8
Power draw
47.1 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.47 · Ubuntu 22.04 · CUDA 12.8 · 32768 ctx

    38.79 tok/s

    Decode

    186.13 tok/s

    Prefill

    0.28 s

    TTFT

    13.02 GB

    VRAM

    —

    MTP

    47.1 W

    Power draw

    L2 batch seed 2026-10-19: vLLM on hw_id=24 running model_id=53 at Q3_K_S