deepseek-r1:7b

qwen2 · 7.6B · Q4_K_M

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 6, 2026

Top 24% Compare

Global Score

77 /100

Good

Hardware Fit

94/100

Quality

70/100

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Ollama

ollama pull deepseek-r1:7b

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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
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 22.2
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: 285 ms
Time to first token How fast the model starts responding — lower is better: 285 ms
Load time Time to load the model into memory before inference: 0.8 s
Memory usage RAM consumed during inference — percentage of total system memory: 7.6 GB (24%)
Total tokens Total number of tokens generated across all benchmark prompts: 1021

Score breakdown

Speed

44/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

14/20

Coding

12/20

Instruction following

10/20

Structured output

12/15

Math

15/15

Multilingual

7/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.6
Model format: GGUF
Hardware profile: BALANCED
Result hash: 31c0adc2b469f405dd775e7c6363567198771bba1e8007d4db1ec0d54903479f

Interpretation

Hardware fit: 94/100. Overall suitability: GOOD (Global 77/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Adequate.

Bench Environment

Power: AC CPU load: avg 5% (peak 11%)

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