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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

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

Hardware

google/gemma-4-e4b gemma4:e4b-mlx
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M2 Pro
Cores1610
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M2 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b gemma4:e4b-mlx
Tokens/sec26.247.3
First chunk17 ms258 ms
TTFT572 ms258 ms
Load timeN/A5.1 s
Memory usage6.5 GB7.9 GB
Memory %41%49%

HW Fit Score Breakdown

google/gemma-4-e4b

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

gemma4:e4b-mlx

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

Quality

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

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
View google/gemma-4-e4b details | View gemma4:e4b-mlx details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest