qwen3.5-0.8b-mlx

qwen3_5 · 0.8B · 8bit

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 3, 2026 · Submitted by Topaz750

Top 67% Compare

Global Score

60 /100

Good

Hardware Fit

96/100

Quality

44/100

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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: 108.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.9
First chunk latency Delay before the first streamed chunk arrives from runtime: 2.6 s
Time to first token How fast the model starts responding — lower is better: 2.6 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: 1.0 GB (3%)
Total tokens Total number of tokens generated across all benchmark prompts: 1087

Score breakdown

Speed

50/50

Time to first token

16/20

Memory

30/30

Quality

Reasoning

10/20

Coding

3/20

Instruction following

11/20

Structured output

12/15

Math

3/15

Multilingual

5/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: LM Studio 0.4.6+1
Model format: MLX
Hardware profile: BALANCED
Result hash: fd6e5ee77fdc8f011f7a14c7b9f5f5ecd068e3c162ac0fd2b1248c4b78f66a01

Interpretation

Hardware fit: 96/100. Overall suitability: GOOD (Global 60/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Adequate, Structured Output: Strong, Math: Poor, Multilingual: Adequate.

Bench Environment

Power: AC CPU load: avg 20% (peak 34%)

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