Benchmarking different explicit synchronization methods in MXNet reveals that isolated operations can take approximately the same time to complete, despite having vastly different impacts on the overall computational graph. For instance, timing a simple matrix dot product operation b = np.dot(a, a) and then invoking global synchronization via npx.waitall() might take roughly $0.0180$ seconds. Alternatively, performing the exact same calculation but using variable-specific synchronization via b.wait_to_read() takes a comparable $0.0189$ seconds. While the individual execution times are nearly identical, wait_to_read() is generally preferred in practice because it only halts the specific branch of computation rather than stalling the entire global backend queue.