XiaoMi/mace

Health v2 · maintenance only

Adoption not part of the score

5046 stars · 819 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MACE (Mobile AI Compute Engine) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. It supports TensorFlow, Caffe and ONNX models with runtimes optimized for CPU (NEON), GPU (OpenCL) and DSP (Hexagon).

Use cases

• run neural network inference on android phones
• deploy tensorflow models on mobile devices
• convert onnx models for mobile inference
• accelerate cnn inference with mobile gpu via opencl
• run models on hexagon dsp
• protect model weights in a mobile app
• reduce memory footprint of on-device inference

When to choose

• you need fast on-device inference on ARM mobile chips
• you want GPU or DSP acceleration for neural networks on Android
• model protection and small binary size matter
• you need to run TensorFlow, Caffe or ONNX models on mobile

When to avoid

• you need training, not inference
• you target only server or desktop GPUs
• you need broad support for the latest transformer architectures
• you want a framework with frequent recent updates

Facets

library · maturity maintenance

machine-learning deep-learning llm-inference deep-learning mobile-development machine-learning windows cross-platform cpp mobile-inference opencl neon hexagon onnx tensorflow caffe model-protection android ios linux

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markdown · JSON · MCP: product_card(name="XiaoMi/mace")