gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
Global Score
90 vs 65
Hardware Fit
78 vs 92
Quality Score
95 vs 54
Hardware
gemma4:e4b-mlx qwen2.5:1.5b
MachineMacBook ProiMac
CPUApple M2 ProIntel Core™ i7-4771
Cores108
RAM16 GB32 GB
GPUApple M2 ProNVIDIA GeForce GTX 780M
OSmacOS 26.5macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced
Performance
gemma4:e4b-mlx qwen2.5:1.5b
Tokens/sec46.119.6
First chunk284 ms690 ms
TTFT3.9 s690 ms
Load time0.1 s21.4 s
Memory usage10.8 GB1.0 GB
Memory %68%3%
HW Fit Score Breakdown
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
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
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
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