yi-coder:9b
OLLAMA GGUFllama · 8.8B · Q4_0
Mar 6, 2026 · Apple M4
gemma4:e4b-mlx
OLLAMA GGUFJul 7, 2026 · Apple M2 Pro
Global Score
70 vs 90
Hardware Fit
89 vs 78
Quality Score
62 vs 95
Hardware
yi-coder:9b gemma4:e4b-mlx
MachineMacBook AirMacBook Pro
CPUApple M4Apple M2 Pro
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M2 Pro
OSmacOS 26.3macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
yi-coder:9b gemma4:e4b-mlx
Tokens/sec19.446.1
First chunk287 ms284 ms
TTFT287 ms3.9 s
Load time0.7 s0.1 s
Memory usage9.6 GB10.8 GB
Memory %30%68%
HW Fit Score Breakdown
yi-coder:9b
Speed
39/50
TTFT
20/20
Memory
30/30
gemma4:e4b-mlx
Speed
50/50
TTFT
12/20
Memory
16/30
Quality
yi-coder:9b
Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate
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
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