qwen2.5-7b-instruct

qwen2 · 7B · 4bit

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 3, 2026 · Submitted by Topaz750

Top 8% Compare

Global Score

84 /100

Excellent

Hardware Fit

97/100

Quality

78/100

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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: 24.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.5
First chunk latency Delay before the first streamed chunk arrives from runtime: 464 ms
Time to first token How fast the model starts responding — lower is better: 464 ms
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 4.0 GB (13%)
Total tokens Total number of tokens generated across all benchmark prompts: 997

Score breakdown

Speed

47/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

14/20

Coding

17/20

Instruction following

15/20

Structured output

15/15

Math

8/15

Multilingual

9/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: LM Studio 0.4.6+1
Model format: MLX
Hardware profile: BALANCED
Result hash: 261702777a73b4710eda1a46d54ed44338649b9fbfd724e2380d3c0e845038b0

Interpretation

Hardware fit: 97/100. Overall suitability: EXCELLENT (Global 84/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 9% (peak 11%)

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