API · 2026-05-07 · ModelsLab Team
MacBook Neo AI Benchmarks — Local Inference vs Cloud API (2026)
Benchmarking the MacBook Neo for local AI inference. When does local beat the API, and when does the API still win?
Apple Silicon has come a long way. We benchmarked image generation locally on a MacBook Neo (M-series) versus the Stable Diffusion API.
SDXL inference (1024x1024, 30 steps)
| Setup | Time per image |
|---|---|
| MacBook Neo (local) | 18–24s |
| SD API (default GPU pool) | 4–7s |
| SD API (Enterprise dedicated) | 2–3s |
When local wins
- Privacy-sensitive workloads
- Free or pre-existing hardware budgets
- Offline scenarios
When the API wins
- Throughput (parallel generation)
- Latest models (you don’t have to update)
- Burst capacity