lfm2.5-1.2b-instruct-mlx
lfm2 · 1.2B · 8bit
MacBook Air (Apple M4)
32 GB · macOS 26.3
Tested on March 4, 2026
Global Score
68 /100
Good
Hardware Fit
100/100
Quality
54/100
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Hardware
- Machine
- MacBook Air
- CPU
- Apple M4
- Cores
- 10 total (4 perf + 6 eff)
- Frequency
- 2.4 GHz
- RAM
- 32 GB LPDDR5
- GPU
- Apple M4
- OS
- macOS 26.3
- Arch
- arm64
- Power Mode
- balanced
Performance
- Tokens/sec
- 77.3
- Standard deviation
- ±4.4
- First chunk latency
- 177 ms
- Time to first token
- 177 ms
- Load time
- N/A
- Memory usage
- 1.2 GB (4%)
- Total tokens
- 1001
Score breakdown
Speed
50/50
Time to first token
20/20
Memory
30/30
Quality
Reasoning
10/20
Coding
7/20
Instruction following
16/20
Structured output
12/15
Math
1/15
Multilingual
8/10
Category levels
Reasoning: Weak Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Poor Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio 0.4.6+1
- Model format
- MLX
- Hardware profile
- BALANCED
- Result hash
- 1bde63920d8b07ea9584b15a4e7bbe67332d1d744ea1d075ab0a9c48cb22763b
Interpretation
Hardware fit: 100/100. Overall suitability: GOOD (Global 68/100). Category profile: Reasoning: Weak, Coding: Weak, Instruction Following: Strong, Structured Output: Strong, Math: Poor, Multilingual: Strong.
Bench Environment
Power: AC CPU load: avg 14% (peak 16%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest