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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
85 vs 68
Hardware Fit
95 vs 93
Quality Score
81 vs 57

Hardware

gemma4:e4b-mlx google/gemma-4-e4b
MachineMacBook ProLENOVO 82JQ
CPUApple M2 ProAMD Ryzen 7 5800H
Cores1016
RAM16 GB16 GB
GPUApple M2 ProNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.5Microsoft Windows 11 家庭版 中文版 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx google/gemma-4-e4b
Tokens/sec47.326.2
First chunk258 ms17 ms
TTFT258 ms572 ms
Load time5.1 sN/A
Memory usage7.9 GB6.5 GB
Memory %49%41%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

Quality

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View gemma4:e4b-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