gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
lfm2.5-thinking:1.2b
OLLAMA GGUFlfm2 · 1.2B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
90 vs 60
Hardware Fit
78 vs 80
Quality Score
95 vs 52
Hardware
gemma4:e4b-mlx lfm2.5-thinking:1.2b
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M4 Pro
Cores1014
RAM16 GB48 GB
GPUApple M2 ProApple M4 Pro
OSmacOS 26.5macOS 26.4.1
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx lfm2.5-thinking:1.2b
Tokens/sec46.1227.0
First chunk284 ms60 ms
TTFT3.9 s30.0 s
Load time0.1 s0.7 s
Memory usage10.8 GB2.6 GB
Memory %68%6%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
lfm2.5-thinking:1.2b
Speed
50/50
TTFT
0/20
Memory
30/30
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
lfm2.5-thinking:1.2b
Reasoning
8/20
Coding
6/20
Instruction
10/20
Structured
7/15
Math
12/15
Multilingual
9/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Weak Math: Strong 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