Benchmark: Sorting for loop vs array.sort

Script Preparation code:

var Arr =  new Array(100);

Tests:

For loop
for (var i = 1; i < Arr.length; i++) for (var j = 0; j < i; j++) if (Arr[i] < Arr[j]) { var x = Arr[i]; Arr[i] = Arr[j]; Arr[j] = x; }
Array Sort
Arr.sort()

Historical Performance Data aggregated from 57 community runs

Desktop Results:

Chrome 34 runs

Array Sort

1.8M/s

For loop

36K/s

Fastest: Array Sort (48.9x faster)

View exact numbers

✓ Array Sort: 1,756,240 ops/sec
• For loop: 35,903 ops/sec

Firefox 9 runs

Array Sort

275K/s

For loop

179K/s

Fastest: Array Sort (1.5x faster)

View exact numbers

✓ Array Sort: 274,695 ops/sec
• For loop: 178,671 ops/sec

Mobile Results:

Chrome 9 runs

Array Sort

1.1M/s

For loop

2K/s

Fastest: Array Sort (723.9x faster)

View exact numbers

✓ Array Sort: 1,137,389 ops/sec
• For loop: 1,571 ops/sec

Safari 5 runs

Array Sort

938K/s

For loop

4K/s

Fastest: Array Sort (250.7x faster)

View exact numbers

✓ Array Sort: 937,759 ops/sec
• For loop: 3,741 ops/sec

Results show median performance across all community submissions. Run this benchmark yourself to verify on your device.

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
For loop
Array Sort

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 10 months ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36

Browser/OS: Chrome 141 on Linux

View result in a separate tab

Array Sort

1.3M/s

For loop

44K/s

View exact numbers

Test name	Executions per second
✓ Array Sort	1,321,607 Ops/sec
For loop	44,110 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the benchmark and its components.

**Benchmark Definition:**
The benchmark is designed to compare the performance of two approaches for sorting an array: using a traditional `for` loop and utilizing the built-in `Array.sort()` method.

**Options Compared:**

1. **Traditional For Loop**: This approach uses nested `for` loops to iterate through the array, comparing each element with every other element.
2. **Array.sort()**: This approach utilizes the built-in sorting algorithm provided by the JavaScript engine, which is implemented in C++ (not JavaScript) and optimized for performance.

**Pros and Cons:**

* Traditional For Loop:
	+ Pros:
		- Can be easily understood and modified by developers familiar with traditional loop structures.
		- Allows for manual control over the sorting process.
	+ Cons:
		- Is generally slower than the `Array.sort()` method due to its iterative nature.
		- Requires more code and can be more prone to errors.
* Array.sort():
	+ Pros:
		- Faster and more efficient than a traditional for loop.
		- Reduces developer time and effort, as it's a standardized API.
	+ Cons:
		- May not be suitable for all edge cases or custom sorting requirements.
		- Can have performance issues if the input data is large or complex.

**Library/Function:**
None explicitly mentioned. The benchmark relies on built-in JavaScript features, such as `Array` and `sort()`.

**Special JS Feature/Syntax:**
Not applicable in this case, as both test cases use standard JavaScript syntax.

**Other Considerations:**

* The benchmark is likely designed to measure the performance of a specific browser or JavaScript engine.
* The use of a `for` loop with nested loops may not be representative of typical web development scenarios, where sorting algorithms are often implemented using more efficient data structures and algorithms (e.g., quicksort, mergesort).
* The presence of two test cases allows for a direct comparison between the traditional approach and the optimized `Array.sort()` method.

**Alternatives:**
Other alternatives to consider in similar benchmarking contexts:

1. Using other sorting algorithms, such as:
	* Quicksort
	* Mergesort
	* Heapsort
2. Comparing with other data structures for sorting, like:
	* Linked lists
	* Trees (e.g., binary search trees)
3. Including additional factors in the benchmark, such as:
	* Input data distribution (e.g., random, sorted, reverse-sorted)
	* Number of iterations or recursive calls
4. Using different browsers or JavaScript engines for each test case

Sorting for loop vs array.sort (version: 0)

Comparing performance of: `For loop vs Array Sort`

Created: 3 years ago by: Guest

Go to the latest result

For loop

Array Sort

Historical Performance Data aggregated from 57 community runs

Desktop Results:

Chrome 34 runs

Firefox 9 runs

Mobile Results:

Chrome 9 runs

Safari 5 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

Sorting for loop vs array.sort (version: 0)

Comparing performance of: For loop vs Array Sort

Created: 3 years ago by: Guest

Go to the latest result

For loop

Array Sort

Historical Performance Data aggregated from 57 community runs

Desktop Results:

Chrome 34 runs

Firefox 9 runs

Mobile Results:

Chrome 9 runs

Safari 5 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

Related benchmarks

Comparing performance of: `For loop vs Array Sort`