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gemma-4-12B-it · Q5_K_S

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AMD Ryzen AI Max+ 395128GBOllama v0.32L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-12B-it (Q5_K_S) on AMD Ryzen AI Max+ 395 with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.

20.2 tok/s

Decode

Decode speed

85.22 tok/s

Prefill

Prefill speed

2.49 s

TTFT

Time to first token

24.78 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

17 days ago

Last verified

Performance

  1. llama.cpp · IQ2_M Decode 32.57 · Prefill 131.77 ·
  2. llama.cpp · Q5_K_M Decode 22.71 · Prefill 109.92 ·
  3. Ollama · Q3_K_M Decode 26.82 · Prefill 137.08 ·
  4. Ollama · Q5_K_S (current)Decode 20.2 · Prefill 85.22 ·
  5. Ollama · Q4_K_M Decode 66.99 · Prefill 227.06 ·
  6. Strata · Q8_0 Decode 71.19 · Prefill 287.95 ·

Core figures

Decode (avg)
20.2 tok/s
Prefill (avg)
85.22 tok/s
TTFT (avg)
2.49 s
VRAM (avg)
24.78 GB
MTP acceptance rate
—
TTFB
0.16 GB
Power draw
58.4 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-12B-it
Quantization
Q5_K_S
Framework
Ollama
Version
v0.32
Context length
16384 tokens
Batch size
512
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
AMD Ryzen AI Max+ 395
Nominal VRAM
128 GB
Measured VRAM (avg)
24.78 GB
OS
Ubuntu 24.04
Driver
amdgpu-pro 24.20
CUDA
12.6
Power draw
58.4 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-19

    v0.32 · Ubuntu 24.04 · CUDA 12.6 · 16384 ctx

    20.2 tok/s

    Decode

    85.22 tok/s

    Prefill

    2.49 s

    TTFT

    24.78 GB

    VRAM

    —

    MTP

    58.4 W

    Power draw

    L2 batch seed 2026-10-19: Ollama on hw_id=24 running model_id=65 at Q5_K_S