deepseek-r1:1.5b

qwen2 · 1.8B · Q4_K_M

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 6, 2026

Top 53% Compare

Global Score

66 /100

Good

Hardware Fit

100/100

Quality

51/100

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ollama pull deepseek-r1:1.5b

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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: 85.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
First chunk latency Delay before the first streamed chunk arrives from runtime: 115 ms
Time to first token How fast the model starts responding — lower is better: 115 ms
Load time Time to load the model into memory before inference: 0.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 2.6 GB (8%)
Total tokens Total number of tokens generated across all benchmark prompts: 1059

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

14/20

Coding

4/20

Instruction following

8/20

Structured output

6/15

Math

14/15

Multilingual

5/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.17.6
Model format: GGUF
Hardware profile: BALANCED
Result hash: 73e34d9f991095ea50e6ba06df500adbb3f697ee35a3fa8eac7bbec15f6d2a06

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 66/100). Category profile: Reasoning: Adequate, Coding: Poor, Instruction Following: Weak, Structured Output: Weak, Math: Strong, Multilingual: Adequate.

Bench Environment

Power: AC CPU load: avg 8% (peak 11%)

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