hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
gemma4:12b
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Jul 4, 2026 · Apple M2 Pro
Global Score
66 vs 89
Hardware Fit
100 vs 88
Quality Score
52 vs 89
Hardware
hf.co/empero-ai/Qw… gemma4:12b
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M2 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M2 Pro
OSmacOS 26.6.2macOS 26.5
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… gemma4:12b
Tokens/sec40.418.4
First chunk93 ms758 ms
TTFT93 ms758 ms
Load time2.7 s0.3 s
Memory usage4.7 GB7.5 GB
Memory %30%47%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
gemma4:12b
Speed
42/50
TTFT
20/20
Memory
26/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
gemma4:12b
Reasoning
17/20
Coding
18/20
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
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest