Mace-cl-compiled-program.bin Link
This file is not a standard Linux ELF executable; rather, it is a intended for execution on Qualcomm’s Hexagon DSP or Adreno GPU via OpenCL.
In the rapidly evolving world of mobile AI, frameworks like by Xiaomi are crucial for deploying deep learning models on heterogeneous hardware. When utilizing MACE on mobile devices to run heavy AI models—such as mobile-net, inception, or interatomic potentials—GPU acceleration is often necessary to achieve acceptable speed.
: The primary benefit is speed. By caching the compiled program, the app avoids the "just-in-time" compilation overhead, leading to significantly faster initialization of AI tasks [1, 5].
Because mace-cl-compiled-program.bin is a cache file, it is almost always located within the application sandboxes or external cache directories of Android. Common directory paths look like: /Android/data/[package_name]/cache/ /Android/data/[package_name]/files/mace_cl_cache/ Which Apps Use It? mace-cl-compiled-program.bin
When an AI model runs on a mobile device's GPU using OpenCL, the framework must compile "kernels" (small programs that run on the GPU). This process is computationally expensive and can cause significant delays when an app first opens.
: A .bin file is a binary file, which contains data in a format that can be directly used by computers. This could be executable code, data for a program, or firmware for an embedded device.
: Metadata and configuration parameters specific to the hardware (e.g., Qualcomm Adreno or MTK Mali GPUs) to speed up model initialization. Serialized Kernels : Pre-compiled versions of operations like softmax.cl convolution.cl to avoid recompiling OpenCL C code at runtime. Where to Find or Generate It This file is not a standard Linux ELF
The mace-cl-compiled-program.bin file is a small but mighty component within Xiaomi's MACE deep-learning framework. It is a sophisticated performance optimization that provides faster app startups and a degree of protection for proprietary GPU code. While its presence can sometimes startle users or trigger warnings in logs, it is a beneficial file that operates as a first-level cache, improving efficiency. Understanding its role illuminates the complexities of deploying AI on the heterogeneous hardware found in modern smartphones.
The file appears because you are using an application built with the MACE framework. It is most commonly found on:
Depending on the size of the deployed model and the diversity of the mathematical operators utilized, mace-cl-compiled-program.bin can scale from a few hundred kilobytes to tens of megabytes. On low-end embedded devices or phones running tight on storage, this disk footprint must be managed via explicit application cache cleaning policies. 2. Cache Invalidations and Android System Updates : The primary benefit is speed
MACE (Mobile AI Compute Engine) is a deep learning inference framework optimized for mobile acceleration on Android, iOS, and Linux devices. It supports hardware runtimes including CPUs (via NEON assembly optimizations), DSPs (Hexagon controllers), and GPUs via OpenCL. Why OpenCL Requires Runtime Compilation
/data/user/0/com.[package_name]/cache/mace_cl_compiled_program.bin /data/data/com.[package_name]/files/ Use code with caution.
The next time you open the app that relies on it, the app may take a few seconds longer to load because it has to recompile the OpenCL code.
Hertogstraat 74 6511 SE Nijmegen

