Delete the file manually. Navigate to Settings > Apps > [Your App] > Storage > Clear Cache . On the next launch, the file will be regenerated. Problem 3: Disk Space Bloat Complex neural networks (like YOLOv7 or MobileNetV3) can produce binaries that are 50MB to 200MB in size. Multiple models mean multiple binaries. A user might complain of "Other" storage eating their phone space.
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. mace-cl-compiled-program.bin
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). Delete the file manually
By caching compiled OpenCL binaries, Xiaomi’s MACE framework turns a computationally expensive JIT compilation step into a near-instant load operation. For the average user, this means their camera filters apply instantly, their photo editor runs smoothly, and their AI keyboard predicts the next word without stuttering. Problem 3: Disk Space Bloat Complex neural networks