Apparatus and methods for dynamically controlling application of a graphic processing unit (“GPU”) based on the current processing needs is described. A number of objects in each image may be detected. A machine learning model may be utilized to detect and classify objects in each image. Based on the number of detected objects, the GPU could be switched on to provide increased image processing performance. Dynamically turning the GPU on/off may reduce power consumption. When the GPU is turned off, a central processing unit (“CPU”) may be used to perform image processing.