qwen3.5-0.8b-mlx

qwen3_5 · 0.8B · 4bit

Mac mini (Apple M4 Pro)

64 GB · macOS 15.7.4

Tested on March 6, 2026

Top 78% Compare

Global Score

53 /100

Marginal

Hardware Fit

89/100

Quality

38/100

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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: 52.9
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±96.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 4.0 s
Time to first token How fast the model starts responding — lower is better: 4.0 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: 0.6 GB (1%)
Total tokens Total number of tokens generated across all benchmark prompts: 443

Score breakdown

Speed

50/50

Time to first token

9/20

Memory

30/30

Quality

Reasoning

7/20

Coding

2/20

Instruction following

12/20

Structured output

10/15

Math

2/15

Multilingual

5/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: MLX
Hardware profile: HIGH-END
Result hash: a5b1cd8373895ffc255cfc6e081b91198f4f05097e025ef22eb41e20e67b0163

Interpretation

Hardware fit: 89/100. Overall suitability: MARGINAL (Global 53/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Adequate, Structured Output: Adequate, Math: Poor, Multilingual: Adequate.

Warnings

Token speed is unstable (stddev 96.3 tok/s, mean 52.9 tok/s) — may indicate thermal throttling or memory pressure.

Bench Environment

Power: AC CPU load: avg 33% (peak 40%)

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$ metrillm

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