qwen3.5-9b

qwen3_5 · 9B · 4bit

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 3, 2026 · Submitted by Topaz750

Top 16% Compare

Global Score

81 /100

Excellent

Hardware Fit

84/100

Quality

79/100

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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: 20.4
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: 3.0 s
Time to first token How fast the model starts responding — lower is better: 3.0 s
Load time Time to load the model into memory before inference: N/A
Memory usage RAM consumed during inference — percentage of total system memory: 5.6 GB (17%)
Total tokens Total number of tokens generated across all benchmark prompts: 1083

Score breakdown

Speed

41/50

Time to first token

14/20

Memory

29/30

Quality

Reasoning

14/20

Coding

15/20

Instruction following

15/20

Structured output

15/15

Math

10/15

Multilingual

10/10

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: 1b484085ce4fc1f4c96ec67d83328f127fb84b6d83433caae7f6ceb5bcf1a893

Interpretation

Hardware fit: 84/100. Overall suitability: EXCELLENT (Global 81/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 21% (peak 25%)

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