How to Improve the Efficiency of Face Landmarker Detection on Android Systems.Thank you.

[RavenGluttonous]

Hi, I am using your Face Landmarker Detection project on a Huawei Honor V8 model, running the demo you provided, in LIVE_STREAM mode with setDelegate(Delegate.GPU), and trying to process 256 video frames, with a frame size of 480*640, the total time taken is about 27 seconds. The total time consumed is about 27 seconds, which is an average of 106 milliseconds per frame. How can I improve his efficiency so that he can give the result faster and the total time consumed can be less than 15 seconds?

    private fun returnLivestreamResult(
        result: FaceLandmarkerResult,
        input: MPImage
    ) {
        if (result.faceLandmarks().size > 0) {
            position++
            val finishTimeMs = SystemClock.uptimeMillis()
            val inferenceTime = finishTimeMs - result.timestampMs()
          
            timeCount += inferenceTime

            if (position == 256) {
                Log.d(TAG, "256 the total frame elapsed time is $timeCount" 
                + "，the average time taken was ${timeCount / 256}")
            }
            faceLandmarkerHelperListener?.onResults(
                ResultBundle(
                    result,
                    inferenceTime,
                    input.height,
                    input.width
                )
            )

        } else {
            faceLandmarkerHelperListener?.onEmpty()
        }
    }