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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

microllm-50m:latest

OLLAMA GGUF

llama · 49.31M · F16

Not Rec.

Jun 28, 2026 · Apple M4 Pro

Global Score
78 vs 28
Hardware Fit
72 vs 80
Quality Score
81 vs 5

Hardware

gemma4:e4b-mlx microllm-50m:latest
MachineMacBook ProMac mini
CPUApple M2 ProApple M4 Pro
Cores1012
RAM16 GB24 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx microllm-50m:latest
Tokens/sec26.91000000.0
First chunk222 ms50 ms
TTFT222 ms30.0 s
Load time0.1 s0.3 s
Memory usage15.4 GB0.1 GB
Memory %96%1%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

microllm-50m:latest

Speed
50/50
TTFT
0/20
Memory
30/30

Quality

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
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

microllm-50m:latest

Reasoning
0/20
Coding
0/20
Instruction
5/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor
View gemma4:e4b-mlx details | View microllm-50m:latest 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