llama2:13b

llama · 13B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 78% Compare

Global Score

60 /100

Good

Hardware Fit

84/100

Quality

44/100

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Ollama

ollama pull llama2:13b

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ollama.com/library/llama2

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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: 13.5
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: 415 ms
Load time Time to load the model into memory before inference: 0.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 10.3 GB (32%)
Total tokens Total number of tokens generated across all benchmark prompts: 1091

Score breakdown

Speed

24/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

9/20

Coding

3/20

Instruction following

13/20

Structured output

7/15

Math

3/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: dacb1ea3cf9ac478e9d5f5f8654d408d971cc673868788ac94a0c6eec0555882

Interpretation

Hardware fit: 84/100. Overall suitability: GOOD (Global 60/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Adequate, Structured Output: Weak, Math: Poor, Multilingual: Strong.

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