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gemma-4-E2B-it · Q3_K_S
Apple M2 ProOllama v0.21L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-E2B-it (Q3_K_S) on Apple M2 Pro with Ollama, contributed by 1 independent source platforms; metrics are averages of published measurements.
140.03 tok/s
Decode
Decode speed
568.6 tok/s
Prefill
Prefill speed
0.51 s
TTFT
Time to first token
4.83 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- vLLM · Q4_K_M Decode 128.43 · Prefill 487.16 ·
- Ollama · IQ2_XS Decode 158.03 · Prefill 828.05 ·
- Ollama · Q3_K_S (current)Decode 140.03 · Prefill 568.6 ·
Core figures
- Decode (avg)
- 140.03 tok/s
- Prefill (avg)
- 568.6 tok/s
- TTFT (avg)
- 0.51 s
- VRAM (avg)
- 4.83 GB
- MTP acceptance rate
- —
- TTFB
- 1.12 GB
- Power draw
- 50.8 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-E2B-it
- Quantization
- Q3_K_S
- Framework
- Ollama
- Version
- v0.21
- Context length
- 8192 tokens
- Batch size
- 512
- GPU layers
- 33
- Flash Attention
- On
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)
- 4.83 GB
- OS
- macOS 15.0
- Driver
- Apple M2 Pro
- CUDA
- N/A
- Power draw
- 50.8 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.21 · macOS 15.0 · CUDA N/A · 8192 ctx
140.03 tok/s
Decode
568.6 tok/s
Prefill
0.51 s
TTFT
4.83 GB
VRAM
—
MTP
50.8 W
Power draw
L2 batch seed 2026-10-16: Ollama on hw_id=102 running model_id=66 at Q3_K_S