AIWalker

May 19, 2026 · Artificial Intelligence

How EUPE’s Three‑Stage Distillation Lets an 86M Model Run Classification, Segmentation and VLM on iPhone in 62 ms (SOTA)

EUPE introduces a three‑stage “scale‑then‑shrink” distillation pipeline that first trains a large proxy model to absorb heterogeneous expert knowledge and then compresses it into an 86M encoder, achieving state‑of‑the‑art performance on image classification, dense prediction and vision‑language tasks on an iPhone with only 62 ms latency.