gpt-oss:20b

gptoss · 20.9B · MXFP4

THINKING MODEL

Mac mini (Apple M4)

24 GB · macOS 26.3

Tested on March 19, 2026 · Submitted by cryptoepops

Top 6% Compare

Global Score

87 /100

Excellent

Hardware Fit

79/100

Quality

90/100

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ollama pull gpt-oss:20b

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GGUF versions & quantizations

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: 26.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 505 ms
Time to first token How fast the model starts responding — lower is better: 6.7 s
Load time Time to load the model into memory before inference: 10.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 13.1 GB (55%)
Total tokens Total number of tokens generated across all benchmark prompts: 1688
Thinking tokens (est.) Estimated internal reasoning tokens — models with "thinking" generate more tokens: ~760

Score breakdown

Speed

50/50

Time to first token

6/20

Memory

23/30

Quality

Reasoning

19/20

Coding

18/20

Instruction following

13/20

Structured output

15/15

Math

15/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.7
Model format: GGUF
Hardware profile: ENTRY
Result hash: 3281d683bb6b206ef16d85f9fa0c5e582251fa48ae504389f77a780e61ead48c

Interpretation

Hardware fit: 79/100. Overall suitability: EXCELLENT (Global 87/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 7% (peak 13%)

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