qwen/qwen3.8-27b

qwen3_5 · 27B · 4bit

MacBook Pro (Apple M4 Max)

128 GB · macOS 26.5.2

Tested on August 18, 2026 · Submitted by Jujube

Top 18% Compare

Global Score

87 /100

Excellent

Hardware Fit

83/100

Quality

88/100

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Hardware

Machine: MacBook Pro
CPU: Apple M4 Max
Cores: 16 total (12 perf + 4 eff)
Frequency: 2.4 GHz
RAM: 128 GB LPDDR5
GPU: Apple M4 Max
OS: macOS 26.5.2
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 29.1
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: 9 ms
Time to first token How fast the model starts responding — lower is better: 650 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: 21.0 GB (16%)
Total tokens Total number of tokens generated across all benchmark prompts: 1247

Score breakdown

Speed

33/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

18/20

Coding

18/20

Instruction following

16/20

Structured output

15/15

Math

11/15

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 0.4.12+1
Model format: MLX
Hardware profile: HIGH-END
Result hash: cdd35b6b53f13d14d31a1235cffd3937d37402998df00f3791f1b7e57cf5da5f

Interpretation

Hardware fit: 83/100. Overall suitability: EXCELLENT (Global 87/100). 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.

Bench Environment

Power: AC CPU load: avg 13% (peak 15%)

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