mlx-community/Yi-1.5-6B-Chat-4bit

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 5, 2026

Top 36% Compare

Global Score

73 /100

Good

Hardware Fit

100/100

Quality

62/100

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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: 29.1
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.8
First chunk latency Delay before the first streamed chunk arrives from runtime: 451 ms
Time to first token How fast the model starts responding — lower is better: 451 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: 0.9 GB (3%)
Total tokens Total number of tokens generated across all benchmark prompts: 1506

Score breakdown

Speed

50/50

Time to first token

20/20

Memory

30/30

Quality

Reasoning

10/20

Coding

11/20

Instruction following

13/20

Structured output

13/15

Math

9/15

Multilingual

6/10

Category levels

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

Metadata

Spec version: 0.2.1
Runtime: LM Studio 0.4.6+1
Model format: GGUF
Hardware profile: BALANCED
Result hash: 80390f2e9468155b6c3403191571c12e4818f366ba951ae7bdd5764d1872497e

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 73/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Adequate, Structured Output: Strong, Math: Adequate, Multilingual: Adequate.

Bench Environment

Power: AC CPU load: avg 20% (peak 26%)

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