qwen3.6:35b-mlx

nvfp4

MacBook Pro (Apple M5 Max)

48 GB · macOS 26.5.2

Tested on July 17, 2026 · Submitted by local_llama

Top 8% Compare

Global Score

89 /100

Excellent

Hardware Fit

97/100

Quality

86/100

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Hardware

Machine: MacBook Pro
CPU: Apple M5 Max
Cores: 18 threads (6 cores)
Frequency: 2.4 GHz
RAM: 48 GB LPDDR5
GPU: Apple M5 Max
OS: macOS 26.5.2
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 129.4
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.3
First chunk latency Delay before the first streamed chunk arrives from runtime: 49 ms
Time to first token How fast the model starts responding — lower is better: 49 ms
Load time Time to load the model into memory before inference: 0.0 s
Memory usage RAM consumed during inference — percentage of total system memory: 20.5 GB (43%)
Total tokens Total number of tokens generated across all benchmark prompts: 1038

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

27/30

Quality

Reasoning

15/20

Coding

18/20

Instruction following

16/20

Structured output

15/15

Math

12/15

Multilingual

10/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: Ollama 0.30.10
Model format: GGUF
Hardware profile: HIGH-END
Result hash: 71e471dd1463b3ef21e78781c3ebbfc04920beaf0eafa432d330c11871cf3e43

Interpretation

Hardware fit: 97/100. Overall suitability: EXCELLENT (Global 89/100). Category profile: Reasoning: Adequate, Coding: Strong, Instruction Following: Strong, Structured Output: Strong, Math: Strong, Multilingual: Strong.

Bench Environment

Power: AC CPU load: avg 7% (peak 9%)

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