mace
MACE is a deep learning inference framework tailored for mobile and heterogeneous computing across Android, iOS, Linux, and Windows. Optimized for performance, it integrates NEON, OpenCL, and the Winograd algorithm for efficient convolution, while advanced APIs like big.LITTLE ensure low power consumption. MACE improves responsiveness with OpenCL kernel management, supports memory optimization and model protection, and is compatible with TensorFlow, Caffe, and ONNX formats. It offers broad compatibility with Qualcomm and MediaTek chips, making it a reliable choice for developers aiming to enhance mobile AI capabilities.
