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gemma-4-31B-it · IQ2_M

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Apple M4 Pro64GBvLLM v0.39L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-31B-it (IQ2_M) on Apple M4 Pro with vLLM, contributed by 1 independent source platforms; metrics are averages of published measurements.

64.88 tok/s

Decode

Decode speed

330.09 tok/s

Prefill

Prefill speed

1.98 s

TTFT

Time to first token

35.95 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

5 days ago

Last verified

Performance

  1. vLLM · IQ2_M (current)Decode 64.88 · Prefill 330.09 ·

Core figures

Decode (avg)
64.88 tok/s
Prefill (avg)
330.09 tok/s
TTFT (avg)
1.98 s
VRAM (avg)
35.95 GB
MTP acceptance rate
—
TTFB
0.52 GB
Power draw
83.8 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-31B-it
Quantization
IQ2_M
Framework
vLLM
Version
v0.39
Context length
16384 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 M4 Pro
Nominal VRAM
64 GB
Measured VRAM (avg)
35.95 GB
OS
macOS 15.0
Driver
Apple M4 Pro
CUDA
N/A
Power draw
83.8 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-13

    v0.39 · macOS 15.0 · CUDA N/A · 16384 ctx

    64.88 tok/s

    Decode

    330.09 tok/s

    Prefill

    1.98 s

    TTFT

    35.95 GB

    VRAM

    —

    MTP

    83.8 W

    Power draw

    L2 batch seed 2026-10-13: vLLM on hw_id=25 running model_id=63 at IQ2_M