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Qwen3.8-9B · IQ2_XS

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AMD Ryzen AI Max+ 395128GBvLLM v0.38L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.8-9B (IQ2_XS) on AMD Ryzen AI Max+ 395 with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

145.04 tok/s

Decode

Decode speed

523.91 tok/s

Prefill

Prefill speed

2.01 s

TTFT

Time to first token

11.17 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. llama.cpp · IQ2_M Decode 125.51 · Prefill 634.19 ·
  2. llama.cpp · IQ3_S Decode 115.85 · Prefill 489.76 ·
  3. vLLM · Q5_K_M Decode 82.89 · Prefill 274.27 ·
  4. vLLM · IQ2_XS (current)Decode 145.04 · Prefill 523.91 ·
  5. vLLM · Q3_K_L Decode 107.95 · Prefill 386.71 ·
  6. Strata · IQ3_XS Decode 164.91 · Prefill 583.87 ·
  7. Strata · Q5_K_S Decode 114.19 · Prefill 509.48 ·

Core figures

Decode (avg)
145.04 tok/s
Prefill (avg)
523.91 tok/s
TTFT (avg)
2.01 s
VRAM (avg)
11.17 GB
MTP acceptance rate
—
TTFB
1.16 GB
Power draw
119.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.8-9B
Quantization
IQ2_XS
Framework
vLLM
Version
v0.38
Context length
32768 tokens
Batch size
32
GPU layers
999
Flash Attention
On

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)
11.17 GB
OS
Windows 11 23H2
Driver
AMD Adrenalin 25.10.1
CUDA
N/A
Power draw
119.8 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.38 · Windows 11 23H2 · CUDA N/A · 32768 ctx

    145.04 tok/s

    Decode

    523.91 tok/s

    Prefill

    2.01 s

    TTFT

    11.17 GB

    VRAM

    —

    MTP

    119.8 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=24 running model_id=52 at IQ2_XS