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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Aug 24, 2026 · Apple M1 Pro

lfm2.5-1.2b-instruct-mlx

LM-STUDIO MLX

lfm2 · 1.2B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
90 vs 68
Hardware Fit
86 vs 100
Quality Score
92 vs 54

Hardware

gemma4:e4b-mlx lfm2.5-1.2b-instru…
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 lfm2.5-1.2b-instru…
Tokens/sec41.877.3
First chunk359 ms177 ms
TTFT4.2 s177 ms
Load time5.1 sN/A
Memory usage7.9 GB1.2 GB
Memory %49%4%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
11/20
Memory
25/30

lfm2.5-1.2b-instruct-mlx

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

lfm2.5-1.2b-instruct-mlx

Reasoning
10/20
Coding
7/20
Instruction
16/20
Structured
12/15
Math
1/15
Multilingual
8/10
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
View gemma4:e4b-mlx details | View lfm2.5-1.2b-instru… 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