gemma4:12b
OLLAMA GGUFgemma4 · 11.9B · Q4_K_M
Jul 4, 2026 · Apple M2 Pro
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
89 vs 66
Hardware Fit
88 vs 100
Quality Score
89 vs 52
Hardware
gemma4:12b hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M4
Cores1010
RAM16 GB16 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced
Performance
gemma4:12b hf.co/empero-ai/Qw…
Tokens/sec18.426.5
First chunk758 ms447 ms
TTFT758 ms447 ms
Load time0.3 s3.3 s
Memory usage7.5 GB4.8 GB
Memory %47%30%
HW Fit Score Breakdown
gemma4:12b
Speed
42/50
TTFT
20/20
Memory
26/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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