qwen3.5-9b

qwen35 · 9B · Q4_K_S

Mac mini (Apple M4 Pro)

64 GB · macOS 15.7.4

Tested on March 12, 2026 · Submitted by alpha186@pm.me

Top 8% Compare

Global Score

84 /100

Excellent

Hardware Fit

91/100

Quality

81/100

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Hardware

Machine: Mac mini
CPU: Apple M4 Pro
Cores: 14 total (10 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 64 GB LPDDR5
GPU: Apple M4 Pro
OS: macOS 15.7.4
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 30.2
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: 499 ms
Time to first token How fast the model starts responding — lower is better: 499 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: 6.7 GB (11%)
Total tokens Total number of tokens generated across all benchmark prompts: 1206

Score breakdown

Speed

41/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

16/20

Coding

15/20

Instruction following

16/20

Structured output

15/15

Math

9/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 551b315821823403e9a195de6ba104f4a592c2cca8abec863eb0499905cd32de

Interpretation

Hardware fit: 91/100. Overall suitability: EXCELLENT (Global 84/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 12% (peak 15%)

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