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gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score
81 vs 45
Hardware Fit
82 vs 67
Quality Score
81 vs 35

Hardware

gemma4:12b-mlx yi-coder-1.5b-chat
MachineMacBook ProLENOVO 20BUS00700
CPUApple M2 ProIntel Core™ i5-5300U
Cores104
RAM16 GB16 GB
GPUApple M2 ProIntel(R) HD Graphics 5500
OSmacOS 26.5Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:12b-mlx yi-coder-1.5b-chat
Tokens/sec25.37.7
First chunk761 ms2668 ms
TTFT7.7 s2.7 s
Load time3.6 sN/A
Memory usage7.1 GB0.9 GB
Memory %44%6%

HW Fit Score Breakdown

gemma4:12b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

Quality

gemma4:12b-mlx

Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

yi-coder-1.5b-chat

Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate

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