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gemma-4-12B-it · Q5_K_M

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AMD Radeon RX 7900 XTX24GBllama.cpp v0.41L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-12B-it (Q5_K_M) on AMD Radeon RX 7900 XTX with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.

54.12 tok/s

Decode

Decode speed

201.79 tok/s

Prefill

Prefill speed

1.59 s

TTFT

Time to first token

22.8 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

Today

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 97.1 · Prefill 483.73 ·
  2. llama.cpp · Q5_K_M (current)Decode 54.12 · Prefill 201.79 ·
  3. Strata · IQ2_M Decode 125.31 · Prefill 624.12 ·
  4. vLLM · Q4_K_S Decode 86.73 · Prefill 462.81 ·
  5. vLLM · Q5_K_S Decode 64.98 · Prefill 291.13 ·
  6. Ollama · IQ2_M Decode 92.49 · Prefill 473.64 ·
  7. Ollama · Q4_K_S Decode 67.64 · Prefill 313.4 ·
  8. Strata · IQ3_XS Decode 129.13 · Prefill 417.63 ·

Core figures

Decode (avg)
54.12 tok/s
Prefill (avg)
201.79 tok/s
TTFT (avg)
1.59 s
VRAM (avg)
22.8 GB
MTP acceptance rate
—
TTFB
0.43 GB
Power draw
247.3 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-12B-it
Quantization
Q5_K_M
Framework
llama.cpp
Version
v0.41
Context length
32768 tokens
Batch size
512
GPU layers
20
Flash Attention
On

Hardware

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

GPU
AMD Radeon RX 7900 XTX
Nominal VRAM
24 GB
Measured VRAM (avg)
22.8 GB
OS
Windows 11 23H2
Driver
amdgpu 6.12
CUDA
12.4
Power draw
247.3 W

Sources & evidence

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

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-18

    v0.41 · Windows 11 23H2 · CUDA 12.4 · 32768 ctx

    54.12 tok/s

    Decode

    201.79 tok/s

    Prefill

    1.59 s

    TTFT

    22.8 GB

    VRAM

    —

    MTP

    247.3 W

    Power draw

    L2 batch seed 2026-10-18: llama.cpp on hw_id=11 running model_id=65 at Q5_K_M