hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
gemma4:12b-mlx
OLLAMA GGUFJul 4, 2026 · Apple M2 Pro
Global Score
66 vs 91
Hardware Fit
100 vs 96
Quality Score
52 vs 89
Hardware
hf.co/empero-ai/Qw… gemma4:12b-mlx
MachineMacBook ProMacBook Pro
CPUApple M4Apple M2 Pro
Cores1010
RAM16 GB16 GB
GPUApple M4Apple M2 Pro
OSmacOS 26.6.1macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… gemma4:12b-mlx
Tokens/sec26.524.7
First chunk447 ms610 ms
TTFT447 ms610 ms
Load time3.3 s3.6 s
Memory usage4.8 GB7.1 GB
Memory %30%45%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b-mlx
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
gemma4:12b-mlx
Reasoning
16/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest