openai/gpt-oss-20b
gpt_oss · 20B · MXFP4
THINKING MODEL
Mac mini (Apple M4)
24 GB · macOS 26.3
Tested on April 1, 2026 · Submitted by cryptoepops
Global Score
82 /100
Excellent
Hardware Fit
85/100
Quality
81/100
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Hardware
- Machine
- Mac mini
- CPU
- Apple M4
- Cores
- 10 total (4 perf + 6 eff)
- Frequency
- 2.4 GHz
- RAM
- 24 GB LPDDR5
- GPU
- Apple M4
- OS
- macOS 26.3
- Arch
- arm64
- Power Mode
- balanced
Performance
- Tokens/sec
- 31.8
- Standard deviation
- ±1.0
- First chunk latency
- 32 ms
- Time to first token
- 8.4 s
- Load time
- 22.7 s
- Memory usage
- 0.0 GB (0%)
- Total tokens
- 1708
- Thinking tokens (est.)
- ~950
Score breakdown
Speed
50/50
Time to first token
5/20
Memory
30/30
Quality
Reasoning
19/20
Coding
14/20
Instruction following
9/20
Structured output
14/15
Math
15/15
Multilingual
10/10
Category levels
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong
Metadata
- Spec version
- 0.2.1
- Runtime
- LM Studio 0.4.8+1
- Model format
- MLX
- Hardware profile
- ENTRY
- Result hash
- ec5aecb1f1d586c1c19a66386c449d7e327b135ad659a7d2582f962780a7acb9
Interpretation
Hardware fit: 85/100. Overall suitability: EXCELLENT (Global 82/100). Category profile: Reasoning: Strong, Coding: Adequate, Instruction Following: Weak, Structured Output: Strong, Math: Strong, Multilingual: Strong.
Warnings
- Significant swap activity during benchmark (+1.6 GB). Model may exceed available RAM — results are severely degraded.
Bench Environment
Power: AC Swap delta:
+1.6 GB
CPU load: avg 28% (peak 38%)
Run yours now
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest