gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
90 vs 85
Hardware Fit
78 vs 95
Quality Score
95 vs 81
Hardware
gemma4:e4b-mlx gemma4:e4b-mlx
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M2 Pro
Cores1010
RAM16 GB16 GB
GPUApple M2 ProApple M2 Pro
OSmacOS 26.5macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx gemma4:e4b-mlx
Tokens/sec46.147.3
First chunk284 ms258 ms
TTFT3.9 s258 ms
Load time0.1 s5.1 s
Memory usage10.8 GB7.9 GB
Memory %68%49%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
gemma4:e4b-mlx
Speed
50/50
TTFT
20/20
Memory
25/30
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
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest