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Qwen3.5-27B · Q3_K_L

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Apple M2 Ultrallama.cpp v0.29L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-27B (Q3_K_L) on Apple M2 Ultra with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

82.49 tok/s

Decode

Decode speed

401.83 tok/s

Prefill

Prefill speed

0.43 s

TTFT

Time to first token

42.92 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

16 days ago

Last verified

Performance

  1. llama.cpp · Q3_K_L (current)Decode 82.49 · Prefill 401.83 ·
  2. Ollama · IQ2_M Decode 104.98 · Prefill 551.16 ·
  3. Ollama · Q8_0 Decode 49.84 · Prefill 240.92 ·
  4. Strata · Q4_K_M Decode 113.85 · Prefill 614.05 ·

Core figures

Decode (avg)
82.49 tok/s
Prefill (avg)
401.83 tok/s
TTFT (avg)
0.43 s
VRAM (avg)
42.92 GB
MTP acceptance rate
—
TTFB
0.66 GB
Power draw
116 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-27B
Quantization
Q3_K_L
Framework
llama.cpp
Version
v0.29
Context length
4096 tokens
Batch size
512
GPU layers
99
Flash Attention
Off

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)
42.92 GB
OS
macOS 26.1
Power draw
116 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.29 · macOS 26.1 · 4096 ctx

    82.49 tok/s

    Decode

    401.83 tok/s

    Prefill

    0.43 s

    TTFT

    42.92 GB

    VRAM

    —

    MTP

    116 W

    Power draw

    L2 batch seed 2026-10-19: llama.cpp on hw_id=103 running model_id=50 at Q3_K_L