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Qwen2.5-Omni-3B · IQ3_S

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2x AMD Strix Halollama.cpp v0.45L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-Omni-3B (IQ3_S) on 2x AMD Strix Halo with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

239.07 tok/s

Decode

Decode speed

794.3 tok/s

Prefill

Prefill speed

0.91 s

TTFT

Time to first token

6.26 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 273.09 · Prefill 1000.97 ·
  2. llama.cpp · IQ3_S (current)Decode 239.07 · Prefill 794.3 ·
  3. vLLM · Q5_K_M Decode 183.47 · Prefill 864.96 ·
  4. vLLM · Q6_K Decode 171.22 · Prefill 756.33 ·

Core figures

Decode (avg)
239.07 tok/s
Prefill (avg)
794.3 tok/s
TTFT (avg)
0.91 s
VRAM (avg)
6.26 GB
MTP acceptance rate
—
TTFB
1.91 GB
Power draw
86.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-Omni-3B
Quantization
IQ3_S
Framework
llama.cpp
Version
v0.45
Context length
8192 tokens
Batch size
256
GPU layers
28
Flash Attention
On

Hardware

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

GPU
2x AMD Strix Halo
Measured VRAM (avg)
6.26 GB
OS
Windows 11 23H2
Driver
amdgpu-pro 24.20
CUDA
N/A
Power draw
86.3 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.45 · Windows 11 23H2 · CUDA N/A · 8192 ctx

    239.07 tok/s

    Decode

    794.3 tok/s

    Prefill

    0.91 s

    TTFT

    6.26 GB

    VRAM

    —

    MTP

    86.3 W

    Power draw

    L2 batch seed 2026-10-16: llama.cpp on hw_id=88 running model_id=60 at IQ3_S