qwen3.5-9b

qwen35 · 9B · Q4_K_S

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 14, 2026 · Submitted by Topaz750

Top 39% Compare

Global Score

72 /100

Not Rec.

Hardware Fit

51/100

Quality

81/100

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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: 14.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
First chunk latency Delay before the first streamed chunk arrives from runtime: 4 ms
Time to first token How fast the model starts responding — lower is better: 824 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: 48.3 GB (151%)
Total tokens Total number of tokens generated across all benchmark prompts: 1206

Score breakdown

Speed

31/50

Time to first token

20/20

Memory

0/30

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: BALANCED
Result hash: 6aecba0ba6ae01cd0947d9880561c2734ae27dbf89a10efede6a8274144bff6a

Interpretation

Hardware fit: 51/100. Overall suitability: NOT RECOMMENDED (Global 72/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Adequate, Multilingual: Strong.

Warnings

Model memory footprint is estimated via LM Studio CLI rather than measured from a fresh load.

Disqualifiers

Memory usage critical: model delta +151%

Bench Environment

Power: AC CPU load: avg 5% (peak 10%)

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