Arao AI
Back to search results

gemma-4-26B-A4B-it · Q4_K_M

Start a discussion
Apple M2 Ultrallama.cpp b11050L1 Reproduced

This page aggregates 1 real-world runs of gemma-4-26B-A4B-it (Q4_K_M) on Apple M2 Ultra with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

79.11 tok/s

Decode

Decode speed

1,550 tok/s

Prefill

Prefill speed

— s

TTFT

Time to first token

— GB

VRAM

VRAM usage

L1 Reproduced

1

Measured runs

1

Independent sources

GitHub

Source platforms

Yesterday

Last verified

Performance

  1. llama.cpp · Q4_K_M (current)Decode 79.11 · Prefill 1550 ·

Core figures

Decode (avg)
79.11 tok/s
Prefill (avg)
1,550 tok/s
TTFT (avg)
— s
VRAM (avg)
— GB
MTP acceptance rate
—
TTFB
— GB
Power draw
— W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-26B-A4B-it
Quantization
Q4_K_M
Framework
llama.cpp
Version
b11050

Hardware

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

GPU
Apple M2 Ultra
OS
macOS 26.5.1

Sources & evidence

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

  1. L1 ReproducedGitHubOriginal link Verified on 2026-10-02

    b11050 · macOS 26.5.1

    79.11 tok/s

    Decode

    1,550 tok/s

    Prefill

    — s

    TTFT

    0 GB

    VRAM

    —

    MTP

    — W

    Power draw

    llama-bench -m gemma-4-26B-A4B-it-Q4_K_M.gguf -p 512 -n 128 -r 3 ... b11050 | 79.11 ± 0.29 | 1550