llama2:7b

llama · 7B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 74% Compare

Global Score

61 /100

Good

Hardware Fit

99/100

Quality

36/100

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Ollama

ollama pull llama2:7b

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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: 25.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
Time to first token How fast the model starts responding — lower is better: 228 ms
Load time Time to load the model into memory before inference: 0.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.8 GB (18%)
Total tokens Total number of tokens generated across all benchmark prompts: 1170

Score breakdown

Speed

39/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

4/20

Coding

3/20

Instruction following

13/20

Structured output

8/15

Math

1/15

Multilingual

7/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: 2efe04a40c07429ad5e7fd0ea182e6fddad53f2c2a4ca601f32d10003e86f46f

Interpretation

Hardware fit: 99/100. Overall suitability: GOOD (Global 61/100). Category profile: Reasoning: Poor, Coding: Poor, Instruction Following: Adequate, Structured Output: Adequate, Math: Poor, Multilingual: Adequate.

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