As Jason said, your code is equivalent to:
Enumerable.Range(0, 10).Where(n => n % 2 == 0);
Note the lambda will be transformed to a function call which is done for every element. This is probably the largest part of the overhead. I did a test, which indicates LINQ is about 3 times slower (mono gmcs version 1.2.6.0) on this exact task
Time for 10000000 for loop reps: 00:00:17.6852560
Time for 10000000 LINQ reps: 00:00:59.0574430
Time for 1000000 for loop reps: 00:00:01.7671640
Time for 1000000 LINQ reps: 00:00:05.8868350
EDIT: Gishu reports that VS2008 and framework v3.5 SP1 gives:
Time for 1000000 loop reps: :00.3724585
Time for 1000000 LINQ reps: :00.5119530
LINQ is about 1.4 times slower there.
It compares a for-loop and a list to LINQ (and whatever structure it uses internally). Either way, it converts the result to an array (necessary to force LINQ to stop being "lazy"). Both versions repeat:
using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
public class Evens
{
private static readonly int[] numbers = new int[]{0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
private static int MAX_REPS = 1000000;
public static void Main()
{
Stopwatch watch = new Stopwatch();
watch.Start();
for(int reps = 0; reps < MAX_REPS; reps++)
{
List<int> list = new List<int>(); // This could be optimized with a default size, but we'll skip that.
for(int i = 0; i < numbers.Length; i++)
{
int number = numbers[i];
if(number % 2 == 0)
list.Add(number);
}
int[] evensArray = list.ToArray();
}
watch.Stop();
Console.WriteLine("Time for {0} for loop reps: {1}", MAX_REPS, watch.Elapsed);
watch.Reset();
watch.Start();
for(int reps = 0; reps < MAX_REPS; reps++)
{
var evens = from num in numbers where num % 2 == 0 select num;
int[] evensArray = evens.ToArray();
}
watch.Stop();
Console.WriteLine("Time for {0} LINQ reps: {1}", MAX_REPS, watch.Elapsed);
}
}
Past performance tests on similar tasks (e.g. LINQ vs Loop - A performance test) corroborate this.