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gemma-4-31B-it · Q2_K

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Apple M3 Max36GBOllama v0.55L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-31B-it (Q2_K) on Apple M3 Max with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

65.74 tok/s

Decode

Decode speed

261.65 tok/s

Prefill

Prefill speed

2.32 s

TTFT

Time to first token

34.2 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · Q2_K Decode 64.47 · Prefill 330.47 ·
  2. Ollama · Q2_K (current)Decode 65.74 · Prefill 261.65 ·

Core figures

Decode (avg)
65.74 tok/s
Prefill (avg)
261.65 tok/s
TTFT (avg)
2.32 s
VRAM (avg)
34.2 GB
MTP acceptance rate
—
TTFB
0.53 GB
Power draw
45.1 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-31B-it
Quantization
Q2_K
Framework
Ollama
Version
v0.55
Context length
8192 tokens
Batch size
256
GPU layers
28
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
Apple M3 Max
Nominal VRAM
36 GB
Measured VRAM (avg)
34.2 GB
OS
macOS 15.0
Driver
Apple M3 Max
CUDA
N/A
Power draw
45.1 W

Sources & evidence

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

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

    v0.55 · macOS 15.0 · CUDA N/A · 8192 ctx

    65.74 tok/s

    Decode

    261.65 tok/s

    Prefill

    2.32 s

    TTFT

    34.2 GB

    VRAM

    —

    MTP

    45.1 W

    Power draw

    L2 batch seed 2026-10-10: Ollama on hw_id=4 running model_id=63 at Q2_K