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Asked: May 11, 20262026-05-11T10:04:45+00:00 2026-05-11T10:04:45+00:00

I’m finding massive performance differences between similar code in C and C#. The C

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I’m finding massive performance differences between similar code in C and C#.

The C code is:

#include <stdio.h> #include <time.h> #include <math.h>  main() {     int i;     double root;          clock_t start = clock();     for (i = 0 ; i <= 100000000; i++){         root = sqrt(i);     }     printf("Time elapsed: %f\n", ((double)clock() - start) / CLOCKS_PER_SEC);     } 

And the C# (console app) is:

using System; using System.Collections.Generic; using System.Text;  namespace ConsoleApplication2 {     class Program     {         static void Main(string[] args)         {             DateTime startTime = DateTime.Now;             double root;             for (int i = 0; i <= 100000000; i++)             {                 root = Math.Sqrt(i);             }             TimeSpan runTime = DateTime.Now - startTime;             Console.WriteLine("Time elapsed: " + Convert.ToString(runTime.TotalMilliseconds/1000));         }     } } 

With the above code, the C# completes in 0.328125 seconds (release version) and the C takes 11.14 seconds to run.

The C is being compiled to a Windows executable using mingw.

I’ve always been under the assumption that C/C++ were faster or at least comparable to C#.net. What exactly is causing the C code to run over 30 times slower?

EDIT: It does appear that the C# optimizer was removing the root as it wasn’t being used. I changed the root assignment to root += and printed out the total at the end. I’ve also compiled the C using cl.exe with the /O2 flag set for max speed.

The results are now: 3.75 seconds for the C 2.61 seconds for the C#

The C is still taking longer, but this is acceptable.

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  1. 2026-05-11T10:04:45+00:00Added an answer on May 11, 2026 at 10:04 am

    Since you never use ‘root’, the compiler may have been removing the call to optimize your method.

    You could try to accumulate the square root values into an accumulator, print it out at the end of the method, and see what’s going on.

    Edit : see Jalf’s answer below

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