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Qwen3.5-0.8B · IQ4_XS

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Apple M2 UltraOllama v0.23L2 Cross-framework verified

This page aggregates 1 real-world runs of Qwen3.5-0.8B (IQ4_XS) on Apple M2 Ultra with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

235.75 tok/s

Decode

Decode speed

979.9 tok/s

Prefill

Prefill speed

0.13 s

TTFT

Time to first token

3.34 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 · IQ4_XS (current)Decode 235.75 · Prefill 979.9 ·
  2. Strata · Q3_K_L Decode 328.49 · Prefill 1202.75 ·
  3. Strata · Q8_0 Decode 256.65 · Prefill 954.91 ·

Core figures

Decode (avg)
235.75 tok/s
Prefill (avg)
979.9 tok/s
TTFT (avg)
0.13 s
VRAM (avg)
3.34 GB
MTP acceptance rate
—
TTFB
1.89 GB
Power draw
68.8 W

Configuration

Member-level fields are taken from the most recent run

Model
Qwen3.5-0.8B
Quantization
IQ4_XS
Framework
Ollama
Version
v0.23
Context length
4096 tokens
Batch size
512
GPU layers
28
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)
3.34 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
68.8 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 · 4096 ctx

    235.75 tok/s

    Decode

    979.9 tok/s

    Prefill

    0.13 s

    TTFT

    3.34 GB

    VRAM

    —

    MTP

    68.8 W

    Power draw

    L2 batch seed 2026-10-16: Ollama on hw_id=103 running model_id=51 at IQ4_XS