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Qwen2.5-Omni-3B · Q5_K_M

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Apple M4 Pro64GBOllama v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-Omni-3B (Q5_K_M) on Apple M4 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

114.09 tok/s

Decode

Decode speed

438.42 tok/s

Prefill

Prefill speed

1.48 s

TTFT

Time to first token

7.96 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. vLLM · IQ4_XS Decode 172.49 · Prefill 661.58 ·
  2. vLLM · Q3_K_S Decode 184.21 · Prefill 1008.8 ·
  3. Ollama · Q4_K_S Decode 154.32 · Prefill 813.63 ·
  4. Ollama · Q5_K_M (current)Decode 114.09 · Prefill 438.42 ·

Core figures

Decode (avg)
114.09 tok/s
Prefill (avg)
438.42 tok/s
TTFT (avg)
1.48 s
VRAM (avg)
7.96 GB
MTP acceptance rate
—
TTFB
0.91 GB
Power draw
60.3 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-Omni-3B
Quantization
Q5_K_M
Framework
Ollama
Version
v0.32
Context length
4096 tokens
Batch size
256
GPU layers
20
Flash Attention
On

Hardware

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

GPU
Apple M4 Pro
Nominal VRAM
64 GB
Measured VRAM (avg)
7.96 GB
OS
macOS 15.0
Driver
Apple M4 Pro
CUDA
N/A
Power draw
60.3 W

Sources & evidence

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

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

    v0.32 · macOS 15.0 · CUDA N/A · 4096 ctx

    114.09 tok/s

    Decode

    438.42 tok/s

    Prefill

    1.48 s

    TTFT

    7.96 GB

    VRAM

    —

    MTP

    60.3 W

    Power draw

    L2 batch seed 2026-10-13: Ollama on hw_id=25 running model_id=60 at Q5_K_M