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gemma4:e2b-mlx

OLLAMA GGUF
Excellent

Aug 25, 2026 · Apple M1 Pro

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
82 vs 62
Hardware Fit
99 vs 77
Quality Score
75 vs 55

Hardware

gemma4:e2b-mlx google/gemma-4-e4b
MachineMacBook ProLENOVO 82JQ
CPUApple M1 ProAMD Ryzen 7 5800H
Cores1016
RAM16 GB16 GB
GPUApple M1 ProNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.6.2Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:e2b-mlx google/gemma-4-e4b
Tokens/sec70.427.6
First chunk96 ms23 ms
TTFT96 ms480 ms
Load time2.5 sN/A
Memory usage5.7 GB13.2 GB
Memory %36%83%

HW Fit Score Breakdown

gemma4:e2b-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

Quality

gemma4:e2b-mlx

Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
View gemma4:e2b-mlx details | View google/gemma-4-e4b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest