Benchmark: Adnannnnnn - MeasureThat.net

HTML Preparation code:

<script src="//ajax.googleapis.com/ajax/libs/jquery/1/jquery.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.4/lodash.min.js"></script>

Script Preparation code:


// Populate the base array
var arr = [];
for (var i = 0; i < 1000; i++) {
  arr[i] = i;
}

function fn(a) {
  return a * 2 * 5;
}

Tests:

For Loop
for(i=0;i<arr.length;i++) { fn(arr[i]); }
Each
let i = 0; while(i++ < arr.length) { fn(arr[i]); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
For Loop
Each

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Overview**

The provided benchmark measures the performance difference between two approaches: using a `for` loop and an `each` loop (or a `forEach` loop in modern JavaScript) to iterate over an array and apply a function to each element. The test uses a predefined script with an array of 1000 elements, where each element is multiplied by a constant factor.

**Script Preparation Code**

The script preparation code creates the base array with 1000 elements and defines a simple function `fn(a)` that takes an input `a` and returns its product with two constants (`2` and `5`). This function will be applied to each element of the array during the benchmarking process.

**Html Preparation Code**

The HTML preparation code includes references to external JavaScript libraries: jQuery (version 1) and Lodash (version 4.17.4). These libraries are likely used in the script preparation code or in the individual test cases, but their purpose is not directly related to the benchmarked functionality.

**Individual Test Cases**

There are two test cases:

1. **For Loop**: This test case uses a `for` loop to iterate over the array elements and apply the `fn` function to each element.
2. **Each (or forEach)**: This test case uses an `each` loop (or equivalently, a `forEach` loop in modern JavaScript) to iterate over the array elements and apply the `fn` function to each element.

**Performance Comparison**

The benchmark measures the execution time per second for each test case using two browsers:

* **For Loop**: 4111.47 executions per second
* **Each (or forEach)**: 4063.87 executions per second

Based on these results, it appears that the `for` loop approach outperforms the `each` loop approach in this specific benchmark.

**Pros and Cons of Each Approach**

* **For Loop**: Pros:
	+ Typically more efficient due to direct indexing and loop control
	+ Less prone to errors caused by unexpected array indexing or iteration issues
	+ Can be more readable for simple loops with a clear incrementing condition
* Cons:
	+ Less flexible than other approaches (e.g., no easy way to break out of the loop)
	+ May require manual memory management in older browsers or environments
* **Each (or forEach)**: Pros:
	+ More concise and readable, especially for modern JavaScript development
	+ Automatically handles iteration and array indexing issues
	+ More flexible than `for` loops, with built-in support for breaking out of the loop
* Cons:
	+ May be slower due to the overhead of invoking callback functions or iterating over arrays using iterables
	+ Less control over indexing or iteration behavior

**Special Considerations**

This benchmark does not mention any special JavaScript features or syntax beyond the use of `for` loops and `each` loops. However, the presence of Lodash and jQuery libraries suggests that the test cases may rely on additional functionality from these libraries.

**Other Alternatives**

For similar benchmarks, you might consider alternatives like:

* Using a library like `lodash.each` or `Array.prototype.forEach()` to abstract away the iteration logic
* Employing iterative algorithms or techniques like `map`, `filter`, or `reduce` that are optimized for specific use cases
* Experimenting with different array data structures, such as sparse arrays or typed arrays, to optimize performance

Keep in mind that these alternatives may not directly affect the comparison between `for` loops and `each` loops, but can provide additional insights into performance optimization strategies.

Related benchmarks:

Adnannnnnn (version: 0)

Comparing performance of: For Loop vs Each

Created: 6 years ago by: Guest

Jump to the latest result

For Loop

Each

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

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