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gemma-4-E2B-it · Q3_K_L

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Apple M2 UltraStrata v0.43L2 Cross-framework verified

This page aggregates 1 real-world runs of gemma-4-E2B-it (Q3_K_L) on Apple M2 Ultra with Strata, contributed by 1 independent source platforms; metrics are averages of published measurements.

291.87 tok/s

Decode

Decode speed

1,161.97 tok/s

Prefill

Prefill speed

1.53 s

TTFT

Time to first token

5.12 GB

VRAM

VRAM usage

L2 Cross-framework verified

1

Measured runs

1

Independent sources

Other

Source platforms

2 days ago

Last verified

Performance

  1. llama.cpp · IQ2_XS Decode 255.2 · Prefill 1294.22 ·
  2. llama.cpp · Q3_K_S Decode 222.24 · Prefill 799.86 ·
  3. Strata · Q3_K_L (current)Decode 291.87 · Prefill 1161.97 ·

Core figures

Decode (avg)
291.87 tok/s
Prefill (avg)
1,161.97 tok/s
TTFT (avg)
1.53 s
VRAM (avg)
5.12 GB
MTP acceptance rate
0.45
TTFB
2.33 GB
Power draw
73.9 W

Configuration

Member-level fields are taken from the most recent run

Model
gemma-4-E2B-it
Quantization
Q3_K_L
Framework
Strata
Version
v0.43
Context length
2048 tokens
Batch size
1024
GPU layers
12
Flash Attention
On

Hardware

Nominal and measured figures are shown side by side; whether it runs is the reader's call

GPU
Apple M2 Ultra
Measured VRAM (avg)
5.12 GB
OS
macOS 15.0
Driver
Apple M2 Ultra
CUDA
N/A
Power draw
73.9 W

Sources & evidence

1 measured records in total, each traceable to its original source

  1. L2 Cross-framework verifiedOtherOriginal link Verified on 2026-10-16

    v0.43 · macOS 15.0 · CUDA N/A · 2048 ctx

    291.87 tok/s

    Decode

    1,161.97 tok/s

    Prefill

    1.53 s

    TTFT

    5.12 GB

    VRAM

    0.45

    MTP

    73.9 W

    Power draw

    L2 batch seed 2026-10-16: Strata on hw_id=103 running model_id=66 at Q3_K_L