gemma4:12b-mlx
THINKING MODEL
MacBook Pro (Apple M1 Pro)
16 GB · macOS 26.6.2
Tested on August 24, 2026 · Submitted by AAA
Global Score
71 /100
Not Rec.
Hardware Fit
76/100
Quality
69/100
Get this model
Hardware
- Machine
- MacBook Pro
- CPU
- Apple M1 Pro
- Cores
- 10 total (8 perf + 2 eff)
- Frequency
- 2.4 GHz
- RAM
- 16 GB LPDDR5
- GPU
- Apple M1 Pro
- OS
- macOS 26.6.2
- Arch
- arm64
- Power Mode
- balanced
Performance
- Tokens/sec
- 25.0
- Standard deviation
- ±1.6
- First chunk latency
- 787 ms
- Time to first token
- 30.0 s
- Load time
- 4.0 s
- Memory usage
- 7.1 GB (45%)
- Total tokens
- 1460
- Thinking tokens (est.)
- ~723
Score breakdown
Speed
50/50
Time to first token
0/20
Memory
26/30
Quality
Reasoning
14/20
Coding
10/20
Instruction following
9/20
Structured output
15/15
Math
11/15
Multilingual
10/10
Category levels
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- Ollama 0.32.15
- Model format
- GGUF
- Hardware profile
- ENTRY
- Result hash
- 8f4a15e7f302d003a373519e92641b38ced64d58f3b4b4ecf84ee63adaf8956e
Interpretation
Hardware fit: 76/100. Overall suitability: NOT RECOMMENDED (Global 71/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Weak, Structured Output: Strong, Math: Adequate, Multilingual: Strong.
Warnings
- Significant swap activity during benchmark (+0.8 GB). Model may exceed available RAM — results are severely degraded.
- Running on battery power — performance may be reduced.
Disqualifiers
- Time to first token too high: 30000ms (maximum: 22068ms for ENTRY profile)
Bench Environment
Power: Battery Swap delta:
+0.8 GB
CPU load: avg 18% (peak 21%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest