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gemma-4-E2B-it · Q8_0
Apple M5 Max128GBStrata v0.47L2 Cross-framework verified
This page aggregates 1 real-world runs of gemma-4-E2B-it (Q8_0) on Apple M5 Max with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.
323.09 tok/s
Decode
Decode speed
1,252.89 tok/s
Prefill
Prefill speed
0.17 s
TTFT
Time to first token
6.93 GB
VRAM
VRAM usage
L2 Cross-framework verified
1
Measured runs
1
Independent sources
Other
Source platforms
2 days ago
Last verified
Performance
- vLLM · Q3_K_M Decode 285.33 · Prefill 927.76 ·
- Strata · Q3_K_L Decode 329.61 · Prefill 1762.01 ·
- Strata · Q8_0 (current)Decode 323.09 · Prefill 1252.89 ·
Core figures
- Decode (avg)
- 323.09 tok/s
- Prefill (avg)
- 1,252.89 tok/s
- TTFT (avg)
- 0.17 s
- VRAM (avg)
- 6.93 GB
- MTP acceptance rate
- 0.63
- TTFB
- 2.58 GB
- Power draw
- 249.8 W
Configuration
Member-level fields are taken from the most recent run
- Model
- gemma-4-E2B-it
- Quantization
- Q8_0
- Framework
- Strata
- Version
- v0.47
- Context length
- 4096 tokens
- Batch size
- 512
- GPU layers
- 15
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- Apple M5 Max
- Nominal VRAM
- 128 GB
- Measured VRAM (avg)
- 6.93 GB
- OS
- Windows 11 23H2
- Driver
- 570.86
- CUDA
- 12.8
- Power draw
- 249.8 W
Sources & evidence
1 measured records in total, each traceable to its original source
v0.47 · Windows 11 23H2 · CUDA 12.8 · 4096 ctx
323.09 tok/s
Decode
1,252.89 tok/s
Prefill
0.17 s
TTFT
6.93 GB
VRAM
0.63
MTP
249.8 W
Power draw
L2 batch seed 2026-10-16: Strata on hw_id=28 running model_id=66 at Q8_0