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gemma-4-12B-it · Q4_K_S
NVIDIA RTX 409024GBllama.cpp v0.51L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-12B-it (Q4_K_S) on NVIDIA RTX 4090 with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
100.24 tok/s
Decode
Decode speed
360.86 tok/s
Prefill
Prefill speed
0.68 s
TTFT
Time to first token
21.76 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- llama.cpp · IQ3_XS Decode 114.16 · Prefill 511.31 ·
- llama.cpp · Q4_K_S (current)Decode 100.24 · Prefill 360.86 ·
- vLLM · Q2_K Decode 139.41 · Prefill 531.29 ·
- Ollama · IQ4_XS Decode 95.26 · Prefill 447.14 ·
- Ollama · Q6_K Decode 71.51 · Prefill 296.42 ·
- vLLM · Q8_0 Decode 65.9 · Prefill 494.3 ·
- vLLM · Q5_K_M Decode 96.3 · Prefill 722.3 ·
- vLLM · Q4_K_M Decode 117.4 · Prefill 880.5 ·
- llama.cpp · Q8_0 Decode 60.5 · Prefill 453.8 ·
- llama.cpp · Q5_K_M Decode 88.3 · Prefill 662.3 ·
- llama.cpp · Q4_K_M Decode 107.7 · Prefill 807.8 ·
Core figures
- Decode (avg)
- 100.24 tok/s
- Prefill (avg)
- 360.86 tok/s
- TTFT (avg)
- 0.68 s
- VRAM (avg)
- 21.76 GB
- MTP acceptance rate
- —
- TTFB
- 0.8 GB
- Power draw
- 457.3 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-12B-it
- Quantization
- Q4_K_S
- Framework
- llama.cpp
- Version
- v0.51
- 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
- NVIDIA RTX 4090
- Nominal VRAM
- 24 GB
- Measured VRAM (avg)
- 21.76 GB
- OS
- Windows 11 23H2
- Driver
- 565.57
- CUDA
- 12.8
- Power draw
- 457.3 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.51 · Windows 11 23H2 · CUDA 12.8 · 2048 ctx
100.24 tok/s
Decode
360.86 tok/s
Prefill
0.68 s
TTFT
21.76 GB
VRAM
—
MTP
457.3 W
Power draw
L2 batch seed 2026-10-10: llama.cpp on hw_id=1 running model_id=65 at Q4_K_S