如果你想要一些快速和肮脏的东西，我建议使用秒表代替更大程度的精度。

Stopwatch sw = new Stopwatch();
sw.Start();
// Do Work
sw.Stop();

Console.WriteLine("Elapsed time: {0}", sw.Elapsed.TotalMilliseconds);

或者，如果你需要一些更复杂的东西，你可能应该考虑使用第三方分析器，如ANTS。

将基准测试代码放入实用程序类/方法中是很有用的。StopWatch类不需要在错误时被丢弃或停止。最简单的为动作计时的代码是

public partial class With
{
    public static long Benchmark(Action action)
    {
        var stopwatch = Stopwatch.StartNew();
        action();
        stopwatch.Stop();
        return stopwatch.ElapsedMilliseconds;
    }
}

示例调用代码

public void Execute(Action action)
{
    var time = With.Benchmark(action);
    log.DebugFormat(“Did action in {0} ms.”, time);
}

下面是扩展方法的版本

public static class Extensions
{
    public static long Benchmark(this Action action)
    {
        return With.Benchmark(action);
    }
}

以及示例调用代码

public void Execute(Action action)
{
    var time = action.Benchmark()
    log.DebugFormat(“Did action in {0} ms.”, time);
}

使用System.Diagnostics.Stopwatch类。

Stopwatch sw = new Stopwatch();
sw.Start();

// Do some code.

sw.Stop();

// sw.ElapsedMilliseconds = the time your "do some code" took.

因为我不太关心精度，所以我最终比较了它们。我正在捕获网络上的大量数据包，我想在我收到每个数据包时放置时间。下面是测试500万次迭代的代码

    int iterations = 5000000;

    // Test using datetime.now
    {
        var date = DateTime.UtcNow.AddHours(DateTime.UtcNow.Second);

        var now = DateTime.UtcNow;

        for (int i = 0; i < iterations; i++)
        {
            if (date == DateTime.Now)
                Console.WriteLine("it is!");
        }
        Console.WriteLine($"Done executing {iterations} iterations using datetime.now. It took {(DateTime.UtcNow - now).TotalSeconds} seconds");
    }

    // Test using datetime.utcnow
    {
        var date = DateTime.UtcNow.AddHours(DateTime.UtcNow.Second);

        var now = DateTime.UtcNow;

        for (int i = 0; i < iterations; i++)
        {
            if (date == DateTime.UtcNow)
                Console.WriteLine("it is!");
        }
        Console.WriteLine($"Done executing {iterations} iterations using datetime.utcnow. It took {(DateTime.UtcNow - now).TotalSeconds} seconds");
    }

    // Test using stopwatch
    {
        Stopwatch sw = new Stopwatch();
        sw.Start();

        var now = DateTime.UtcNow;

        for (int i = 0; i < iterations; i++)
        {
            if (sw.ElapsedTicks == DateTime.Now.Ticks)
                Console.WriteLine("it is!");
        }
        Console.WriteLine($"Done executing {iterations} iterations using stopwatch. It took {(DateTime.UtcNow - now).TotalSeconds} seconds");
    }

输出结果为:

Done executing 5000000 iterations using datetime.now. It took 0.8685502 seconds 
Done executing 5000000 iterations using datetime.utcnow. It took 0.1074324 seconds 
Done executing 5000000 iterations using stopwatch. It took 0.9625021 seconds

总之，DateTime。如果您不太关心精度，UtcNow是最快的。这也支持了这个问题的答案https://stackoverflow.com/a/6986472/637142。

这是正确的方法:

using System;
using System.Diagnostics;

class Program
{
    public static void Main()
    {
        Stopwatch stopWatch = Stopwatch.StartNew();

            // some other code

        stopWatch.Stop();

        // this not correct to get full timer resolution
        Console.WriteLine("{0} ms", stopWatch.ElapsedMilliseconds);

        // Correct way to get accurate high precision timing
        Console.WriteLine("{0} ms", stopWatch.Elapsed.TotalMilliseconds);
    }
}

要了解更多信息，请使用秒表而不是DataTime来获得准确的性能计数器。

这些都是衡量时间的好方法，但这只是发现瓶颈的一种非常间接的方法。

在线程中找到瓶颈的最直接方法是让它运行，当它正在做任何让您等待的事情时，使用暂停或中断键停止它。这样做几次。如果你的瓶颈占用了X%的时间，那么X%就是你在每次快照中捕捉到它的概率。

这里有一个更完整的解释，它是如何以及为什么工作的