How can you measure the performance of optimized code?

There are several ways to measure the performance of optimized code:

1. Execution time: Measure the time taken by the optimized code to complete its execution. This can be done using profiling tools or by manually measuring the time before and after the code execution.

2. Memory usage: Measure the amount of memory used by the optimized code. This can be done by monitoring the memory usage during code execution or by using memory profiling tools.

3. CPU utilization: Measure the percentage of CPU resources utilized by the optimized code. This can be done using performance monitoring tools or by analyzing CPU usage statistics.

4. Benchmarking: Compare the performance of the optimized code with the original unoptimized code or with other similar implementations. This can be done by running standardized benchmark tests and analyzing the results.

5. Profiling: Use profiling tools to analyze the performance of the optimized code. Profiling tools provide detailed information about the execution time and resource usage of different parts of the code, helping to identify bottlenecks and areas for further optimization.

Overall, a combination of these methods can be used to measure the performance of optimized code and identify areas for further improvement.