gemma4:e4b-mlx
OLLAMA GGUFAug 24, 2026 · Apple M1 Pro
google/gemma-3-4b
LM-STUDIO MLXgemma3 · 4B · 4bit
Mar 3, 2026 · Apple M4
Global Score
90 vs 76
Hardware Fit
86 vs 100
Quality Score
92 vs 66
Hardware
gemma4:e4b-mlx google/gemma-3-4b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx google/gemma-3-4b
Tokens/sec41.839.4
First chunk359 ms468 ms
TTFT4.2 s468 ms
Load time5.1 sN/A
Memory usage7.9 GB2.8 GB
Memory %49%9%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
11/20
Memory
25/30
google/gemma-3-4b
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
gemma4:e4b-mlx
Reasoning
19/20
Coding
19/20
Instruction
14/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
google/gemma-3-4b
Reasoning
10/20
Coding
17/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak 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