Back to leaderboard

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
90 vs 62
Hardware Fit
78 vs 77
Quality Score
95 vs 55

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/sec46.127.6
First chunk284 ms23 ms
TTFT3.9 s480 ms
Load time0.1 sN/A
Memory usage10.8 GB13.2 GB
Memory %68%83%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

google/gemma-4-e4b

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

Quality

gemma4:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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:e4b-mlx details | View google/gemma-4-e4b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest