No, performance is not always preferred over accuracy when you use TensorFlow. This completely depends on the type of requirement and what the model is trying to achieve. The general rule of thumb is to provide equal weightage to model accuracy and performance.
The next set of TensorFlow interview questions will show the importance of using an example along with concepts to explain.