The best possible way to do this is by using time.process_time () which is only available in python 3.3 and up, here's the info from the docs: Return the value (in fractional seconds) of the sum of the system and user CPU time of the current process.

Mar 8, 2025 · time.process_time () is a function in Python’s time module that returns the CPU time used by the current process as a floating-point number in seconds.

time.clock() is deprecated since Python 3.3 and prints a warning since Python 3.7. The recommended functions are now time.process_time() and time.perf_counter().

Nov 5, 2024 · process_time() measures the combined CPU time of the current process, including both user and system CPU time. It's particularly useful for benchmarking code performance without being affected by system sleep.

Dec 11, 2020 · For cpu time time.process_time() or time.thread_time() is suitable - depending on what you are measuring and whether you are using multi-threading or not. Be mindful of I/O. If you are doing blocking I/O, it will get counted in CPU time. Non blocking I/O (like asyncio) would put the thread to sleep hence not get counted it in CPU time.

On Unix, time.clock returns the current processor time expressed in seconds, i.e., the CPU time it takes to execute the current thread so far. While on Windows, it returns the wall-clock time expressed in seconds elapsed since the first call to this function, based on the Win32 function QueryPerformanceCounter.

Learn to measure execution time in Python: understand wall-clock vs. CPU time, use time.time (), time.perf_counter (), time.monotonic (), time.process_time (), time.thread_time (), the timeit module, datetime module, and profile with cProfile and line_profiler.

2 days ago · To measure the execution time of the first statement, use the timeit() method. The repeat() and autorange() methods are convenience methods to call timeit() multiple times. The execution time of setup is excluded from the overall timed execution run. The stmt and setup parameters can also take objects that are callable without arguments.

Learn how to return the current CPU time in Python with this comprehensive guide. Understand the methods and best practices for accurate CPU time measurement.

Aug 1, 2019 · It’s easier to express the possible relationship as a ratio of (CPU time) / (wall clock time), which is to say CPU/second. If this is a single-threaded process: CPU/second ≈ 1: The process spent all of its time using the CPU. A faster CPU will likely make the program run faster.