qwen3.5-27b

qwen3_5 · 27B · 4bit

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 3, 2026 · Submitted by Topaz750

Top 31% Compare

Global Score

75 /100

Good

Hardware Fit

54/100

Quality

84/100

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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: 6.6
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.2
First chunk latency Delay before the first streamed chunk arrives from runtime: 4.4 s
Time to first token How fast the model starts responding — lower is better: 4.4 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: 15.0 GB (47%)
Total tokens Total number of tokens generated across all benchmark prompts: 1023

Score breakdown

Speed

13/50

Time to first token

11/20

Memory

30/30

Quality

Reasoning

17/20

Coding

18/20

Instruction following

11/20

Structured output

15/15

Math

13/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: LM Studio 0.4.6+1
Model format: MLX
Hardware profile: BALANCED
Result hash: 0a402c692d563274047f5579d9124bea48ebc2d0311e5a436e5e07c64668f5db

Interpretation

Hardware fit: 54/100. Overall suitability: GOOD (Global 75/100). Category profile: Reasoning: Strong, Coding: Strong, Instruction Following: Adequate, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 14% (peak 18%)

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