Mace-cl-compiled-program.bin Jun 2026

: Use lsusb (Linux) or Device Manager (Windows) to identify the board's VID (Vendor ID) and PID (Product ID).

: These binaries are device-specific . A file compiled for a Snapdragon 835 may not work on a Snapdragon 888 because the GPU architectures differ.

When this file is active, it is likely powering features such as: Scene Recognition

In the context of the Xiaomi MACE (Mobile AI Compute Engine) framework, mace_cl_compiled_program.bin is a . Function and Purpose mace-cl-compiled-program.bin

Here’s the breakdown of what this file likely is, why it’s interesting, and what you can do with it.

When MACE runs a neural network model on a GPU for the first time, it must compile the model's operations (like convolutions and activations) into machine code that the specific GPU can understand. This compilation process, called JIT (Just-In-Time) compilation, can be time-consuming and varies across different devices. Here's a simplified breakdown of the process:

You will typically find this file in:

Deleting this file will not crash your phone or break the parent application permanently. However, the next time you open the app or use the AI feature associated with it, the app will experience a noticeable delay as it re-compiles the file from scratch. It will simply reappear in your storage afterward. Why is the file so large?

The presence of mace-cl-compiled-program.bin on a modern filesystem is a testament to the sophisticated engineering required to achieve seamless, low-latency AI performance at the edge. By treating the on-device GPU compiler as a build-step to be cached rather than a repeated runtime penalty, MACE successfully bridges the gap between complex mathematical model graphs and the demanding, real-time UX constraints of mobile technology.

:

// Include the headers #include "mace/public/mace.h" #include "mace/public/mace_runtime.h" // If the build_type is code #include " Read the Docs

The interpreter loads the binary directly, optimizing startup speed.

If you are building your own MACE models, I can help you with the specific or how to run the tuner on your device. Just let me know which device or model you are working with! MACE documentation : Use lsusb (Linux) or Device Manager (Windows)

When an app on your phone uses MACE to run machine learning models (such as image recognition, real-time photo filtering, beautification algorithms, or speech processing), it utilizes the device's GPU via OpenCL. To avoid compiling the OpenCL source code every single time the app launches, MACE compiles the code once and saves it as a cached binary file: mace-cl-compiled-program.bin .