deepseek-r1:14b

qwen2 · 14.8B · Q4_K_M

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 1, 2026

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Global Score

25 /100

Not Rec.

Hardware Fit

46/100

Quality

11/100

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Ollama

ollama pull deepseek-r1:14b

View on Ollama Library

ollama.com/library/deepseek-r1

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GGUF versions & quantizations

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

Performance

Tokens/sec Tokens generated per second — higher is better: 10.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
Time to first token How fast the model starts responding — lower is better: 30.0 s
Load time Time to load the model into memory before inference: 5.3 s
Memory usage RAM consumed during inference — percentage of total system memory: 16.5 GB (52%)
Total tokens Total number of tokens generated across all benchmark prompts: 1394

Score breakdown

Speed

16/40

Time to first token

0/30

Memory

30/30

Quality

Reasoning

1/20

Coding

0/20

Instruction following

2/20

Structured output

1/15

Math

1/15

Multilingual

6/10

Category levels

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

Metadata

Spec version: 0.1.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: 0ef02bf00d4eeea52de3da0732b8bddd41ace3da777312928b24d9c43f682444

Interpretation

Hardware fit: 46/100. Overall suitability: NOT RECOMMENDED (Global 25/100). Category profile: Reasoning: Poor, Coding: Poor, Instruction Following: Poor, Structured Output: Poor, Math: Poor, Multilingual: Adequate. Warning: model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.

Warnings

Model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.

Disqualifiers

Time to first token too high: 30000ms (maximum: 15000ms for BALANCED profile)

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