EfficientFormer is a family of efficient vision transformers designed for mobile and edge deployment. The work investigates whether transformer models can achieve latency and parameter counts comparable to lightweight CNNs like MobileNet. The models include attention mechanisms and hybrid architectures optimized for resource-constrained hardware, with inference实测 on iPhone 12 using CoreMLTools.