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Qwen3.5-4B · IQ2_M

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Apple M2 UltraOllama v0.48L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-4B (IQ2_M) on Apple M2 Ultra with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

182.13 tok/s

Decode

Decode speed

713.62 tok/s

Prefill

Prefill speed

1.21 s

TTFT

Time to first token

6.47 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 · Q3_K_L Decode 164.19 · Prefill 535.64 ·
  2. vLLM · Q3_K_S Decode 169.83 · Prefill 644.07 ·
  3. Ollama · FP16 Decode 60.62 · Prefill 204.54 ·
  4. Ollama · IQ2_M (current)Decode 182.13 · Prefill 713.62 ·

Core figures

Decode (avg)
182.13 tok/s
Prefill (avg)
713.62 tok/s
TTFT (avg)
1.21 s
VRAM (avg)
6.47 GB
MTP acceptance rate
—
TTFB
1.46 GB
Power draw
65.5 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-4B
Quantization
IQ2_M
Framework
Ollama
Version
v0.48
Context length
2048 tokens
Batch size
512
GPU layers
33
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)
6.47 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
65.5 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

    v0.48 · macOS 15.0 · CUDA N/A · 2048 ctx

    182.13 tok/s

    Decode

    713.62 tok/s

    Prefill

    1.21 s

    TTFT

    6.47 GB

    VRAM

    —

    MTP

    65.5 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=103 running model_id=48 at IQ2_M