openai/gpt-oss-20b

gpt_oss · 20B · MXFP4

THINKING MODEL

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on March 11, 2026 · Submitted by cryptoepops

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Global Score

95 /100

Excellent

Hardware Fit

99/100

Quality

93/100

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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 Tokens generated per second — higher is better: 29.3
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 21 ms
Time to first token How fast the model starts responding — lower is better: 1.8 s
Load time Time to load the model into memory before inference: 18.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 0.0 GB (0%)
Total tokens Total number of tokens generated across all benchmark prompts: 1598
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~33

Score breakdown

Speed

50/50

Time to first token

19/20

Memory

30/30

Quality

Reasoning

19/20

Coding

18/20

Instruction following

16/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: MLX
Hardware profile: ENTRY
Result hash: c8dfa01feb09b248c1d9d6daf957877ee7034d54fd4211f8ee188f219783f91a

Interpretation

Hardware fit: 99/100. Overall suitability: EXCELLENT (Global 95/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC Swap delta: +0.0 GB CPU load: avg 20% (peak 26%)

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