Back to search results

Qwen2.5-Omni-3B · Q5_K_S

Start a discussion
Apple M1 ProvLLM v0.20L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen2.5-Omni-3B (Q5_K_S) on Apple M1 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

89.03 tok/s

Decode

Decode speed

302.53 tok/s

Prefill

Prefill speed

2.23 s

TTFT

Time to first token

7.77 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. vLLM · Q5_K_M Decode 93.64 · Prefill 442.19 ·
  2. vLLM · Q5_K_S (current)Decode 89.03 · Prefill 302.53 ·
  3. Ollama · IQ1_S Decode 134.09 · Prefill 528.37 ·
  4. Ollama · Q2_K Decode 116.73 · Prefill 402.44 ·

Core figures

Decode (avg)
89.03 tok/s
Prefill (avg)
302.53 tok/s
TTFT (avg)
2.23 s
VRAM (avg)
7.77 GB
MTP acceptance rate
—
TTFB
0.71 GB
Power draw
64.6 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen2.5-Omni-3B
Quantization
Q5_K_S
Framework
vLLM
Version
v0.20
Context length
8192 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
Apple M1 Pro
Measured VRAM (avg)
7.77 GB
OS
macOS 15.0
Driver
Apple M1 Pro
CUDA
N/A
Power draw
64.6 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

    v0.20 · macOS 15.0 · CUDA N/A · 8192 ctx

    89.03 tok/s

    Decode

    302.53 tok/s

    Prefill

    2.23 s

    TTFT

    7.77 GB

    VRAM

    —

    MTP

    64.6 W

    Power draw

    L2 batch seed 2026-10-16: vLLM on hw_id=100 running model_id=60 at Q5_K_S