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gemma-4-12B-it · IQ2_M
AMD Radeon RX 907016GBllama.cpp v0.38L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-12B-it (IQ2_M) on AMD Radeon RX 9070 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
86.99 tok/s
Decode
Decode speed
431.57 tok/s
Prefill
Prefill speed
2.25 s
TTFT
Time to first token
15.2 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
5 days ago
Last verified
Performance
- vLLM · IQ3_XS Decode 114.22 · Prefill 439.54 ·
- llama.cpp · IQ2_M (current)Decode 86.99 · Prefill 431.57 ·
Core figures
- Decode (avg)
- 86.99 tok/s
- Prefill (avg)
- 431.57 tok/s
- TTFT (avg)
- 2.25 s
- VRAM (avg)
- 15.2 GB
- MTP acceptance rate
- —
- TTFB
- 0.7 GB
- Power draw
- 276.3 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-12B-it
- Quantization
- IQ2_M
- Framework
- llama.cpp
- Version
- v0.38
- Context length
- 2048 tokens
- Batch size
- 512
- GPU layers
- 99
- 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 9070
- Nominal VRAM
- 16 GB
- Measured VRAM (avg)
- 15.2 GB
- OS
- Windows 11 23H2
- Driver
- amdgpu 6.11
- CUDA
- N/A
- Power draw
- 276.3 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.38 · Windows 11 23H2 · CUDA N/A · 2048 ctx
86.99 tok/s
Decode
431.57 tok/s
Prefill
2.25 s
TTFT
15.2 GB
VRAM
—
MTP
276.3 W
Power draw
L2 batch seed 2026-10-13: llama.cpp on hw_id=21 running model_id=65 at IQ2_M