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Qwen3.5-27B · Q8_0

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Apple M2 UltraOllama v0.23L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-27B (Q8_0) on Apple M2 Ultra with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

49.84 tok/s

Decode

Decode speed

240.92 tok/s

Prefill

Prefill speed

0.85 s

TTFT

Time to first token

67.3 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. Ollama · Q8_0 (current)Decode 49.84 · Prefill 240.92 ·
  2. Strata · Q4_K_M Decode 113.85 · Prefill 614.05 ·

Core figures

Decode (avg)
49.84 tok/s
Prefill (avg)
240.92 tok/s
TTFT (avg)
0.85 s
VRAM (avg)
67.3 GB
MTP acceptance rate
—
TTFB
0.4 GB
Power draw
46.7 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-27B
Quantization
Q8_0
Framework
Ollama
Version
v0.23
Context length
16384 tokens
Batch size
512
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 M2 Ultra
Measured VRAM (avg)
67.3 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
46.7 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

    v0.23 · macOS 15.0 · CUDA N/A · 16384 ctx

    49.84 tok/s

    Decode

    240.92 tok/s

    Prefill

    0.85 s

    TTFT

    67.3 GB

    VRAM

    —

    MTP

    46.7 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=103 running model_id=50 at Q8_0