There is no definitive answer to this question since it depends on the specific task at hand. However, in general, tensors are often thought to be faster than NumPy because they are more efficient for representing certain types of data. Tensors can also handle operations on multiple dimensions more easily than NumPy, making them ideal for machine learning and other scientific applications.