gemma4:e2b-mlx
OLLAMA GGUFAug 26, 2026 · Apple M1 Pro
ornith-1.5:9b
OLLAMA GGUFqwen35 · 9.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
88 vs 69
Hardware Fit
79 vs 95
Quality Score
92 vs 58
Hardware
gemma4:e2b-mlx ornith-1.5:9b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:e2b-mlx ornith-1.5:9b
Tokens/sec72.822.2
First chunk134 ms341 ms
TTFT30.0 s341 ms
Load time2.6 s4.8 s
Memory usage5.7 GB7.1 GB
Memory %36%45%
HW Fit Score Breakdown
gemma4:e2b-mlx
Speed
50/50
TTFT
0/20
Memory
29/30
ornith-1.5:9b
Speed
49/50
TTFT
20/20
Memory
26/30
Quality
gemma4:e2b-mlx
Reasoning
19/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
ornith-1.5:9b
Reasoning
19/20
Coding
15/20
Instruction
6/20
Structured
2/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor
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