Mace-cl-compiled-program.bin Jun 2026

00000000: 4D41 4345 434C 0100 0000 0010 0000 MACECL......... 00000010: 0000 0000 0000 0000 0000 0000 0000 ................ 00000020: 0000 0000 0000 0000 0000 0000 0000 ................ 00000030: 0000 0000 0000 0000 0000 0000 0000 ................ 00000040: 0000 0000 0000 0000 0000 0000 0000 ................ 00000050: 0000 0000 0000 0000 0000 0000 0000 ................

The file . It contains optimized GPU kernels specifically compiled for a target device's System-on-Chip (SoC) architecture. By caching these precompiled programs, mobile applications can bypass the resource-heavy OpenCL compilation stage at runtime, reducing artificial intelligence model initialization delays from seconds down to milliseconds.

The file is a precompiled binary for OpenCL kernels used by the Mobile AI Compute Engine (MACE) , a deep learning inference framework developed by Xiaomi for mobile and edge devices . This specific file is critical for accelerating the initialization and performance of machine learning models running on mobile GPUs. What is MACE? mace-cl-compiled-program.bin

For the developer, it represents a trade-off between storage space and latency. For the forensic analyst, it is a breadcrumb revealing which neural networks were run on a device.

When a deep learning model (like MobileNet or Inception) runs on a mobile device's GPU via OpenCL, the framework must compile "kernels"—small programs that execute mathematical operations on the GPU hardware. 00000000: 4D41 4345 434C 0100 0000 0010 0000 MACECL

The storage space occupied by the old file will be reclaimed. How to Manage or Delete the File

: Represents the final machine-readable binary bytecode that the hardware can execute immediately without further translation. How the File is Generated: The Role of OpenCL 00000030: 0000 0000 0000 0000 0000 0000 0000

When an application wants to run a neural network on a GPU, it does not send the raw model to the GPU. Instead, it sends a kernel written in OpenCL C (similar to C99). The GPU driver must compile this source code into machine code specific to that exact GPU model (Adreno, Mali, or PowerVR).

The mace-cl-compiled-program.bin file represents a compiled and optimized machine learning model ready for execution on a device, leveraging MACE for hardware acceleration. Working with such files involves understanding MACE's capabilities, model compatibility, and the specifics of deploying and executing machine learning tasks on Android or similar platforms.

The file is typically stored within the external storage directory allocated for app caches. You will usually find it in paths similar to: /storage/emulated/0/Android/data/[package_name]/cache/ /storage/emulated/0/Android/data/[package_name]/files/

When an application uses MACE to run artificial intelligence features (such as image recognition, live camera filters, or voice processing), it compiles OpenCL kernels. To avoid recompiling these kernels every single time the app launches, MACE caches them into this .bin file to speed up launch times and reduce processor load. Common Locations and Associated Apps