Flutter C++ Memory allocation causes jank on raster thread - Android NDK Dart FFI

Question

I have a flutter app which uses Dart ffi to connect to my custom C++ audio backend. There I allocate around 10MB of total memory for my audio buffers. Each buffer has 10MB / 84 of memory. I use 84 audio players. Here is the ffi flow:

C++ bridge:

extern "C" __attribute__((visibility("default"))) __attribute__((used))
void *
loadMedia(char *filePath, int8_t *mediaLoadPointer, int64_t *currentPositionPtr, int8_t *mediaID) {
    LOGD("loadMedia %s", filePath);

    if (soundEngine == nullptr) {
        soundEngine = new SoundEngine();
    }

    return soundEngine->loadMedia(filePath, mediaLoadPointer, currentPositionPtr, mediaID);
}

In my sound engine I launch a C++ thread:

void loadMedia(){

    std::thread{startDecoderWorker,
                    buffer,
    }.detach();
 }

void startDecoderWorker(float*buffer){
     buffer = new float[30000]; // 30000 might be wrong here, I entered a huge value to just showcase the problem, the calculation of 10MB / 84 code is redundant to the code
}

So here is the problem, I dont know why but when I allocate memory with new keyword even inside a C++ thread, flutters raster thread janks and I can see that my flutter UI janks lots of frames. This is also present in performance overlay as it goes all red for 3 to 5 frames with each of it taking around 30 40ms. Tested on profile mode.

Here is how I came to this conclusion: If I instantly return from my startDecoderWorker without running new memory allocation code, when I do this there is 0 jank. Everything is smooth 60fps, performance overlay doesnt show me red bars.

Here are some screenshots from Profile mode:

Solution

The actual cause, after discussions (in the comments of the question), is not because the memory allocation is too slow, but lie somewhere else - the calculations which will be heavy if the allocation is big.

For details, please refer to the comments and discussions of the question ;)