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gemma-4-E4B-it · Q3_K_S
Apple M2 ProOllama v0.47L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-E4B-it (Q3_K_S) on Apple M2 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
106.08 tok/s
Decode
Decode speed
378.66 tok/s
Prefill
Prefill speed
2.39 s
TTFT
Time to first token
7.56 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- vLLM · FP16 Decode 45.65 · Prefill 229.99 ·
- vLLM · IQ3_S Decode 120.89 · Prefill 462.7 ·
- Ollama · Q3_K_S (current)Decode 106.08 · Prefill 378.66 ·
Core figures
- Decode (avg)
- 106.08 tok/s
- Prefill (avg)
- 378.66 tok/s
- TTFT (avg)
- 2.39 s
- VRAM (avg)
- 7.56 GB
- MTP acceptance rate
- —
- TTFB
- 0.85 GB
- Power draw
- 57.3 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-E4B-it
- Quantization
- Q3_K_S
- Framework
- Ollama
- Version
- v0.47
- Context length
- 2048 tokens
- Batch size
- 256
- GPU layers
- 20
- Flash Attention
- Off
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M2 Pro
- Measured VRAM (avg)
- 7.56 GB
- OS
- macOS 15.0
- Driver
- Apple M2 Pro
- CUDA
- N/A
- Power draw
- 57.3 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.47 · macOS 15.0 · CUDA N/A · 2048 ctx
106.08 tok/s
Decode
378.66 tok/s
Prefill
2.39 s
TTFT
7.56 GB
VRAM
—
MTP
57.3 W
Power draw
L2 batch seed 2026-10-16: Ollama on hw_id=102 running model_id=67 at Q3_K_S