Benchmark: sort vs loop to find max

Tests:

sort
const arr = [12, 3, 500, 40, 66, 22, 123123, 1, 2, -123, 3333] arr.sort((a, b) => a == b ? 0 : a > b ? -1 : 1) const max = arr[0] console.log(max)
loop
const arr = [12, 3, 500, 40, 66, 22, 123123, 1, 2, -123, 3333] let max = 0 for (const num of arr) { if (num > max) max = num } console.log(max)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
sort
loop

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
sort	373707.6 Ops/sec
loop	443860.3 Ops/sec

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 Definition**

The benchmark definition is a JSON object that provides information about the test case. In this case, there are two test cases: "sort" and "loop". The `Name` field specifies the name of the test case, while the `Description` field is empty (which is okay, as it's not required). The `Script Preparation Code` and `Html Preparation Code` fields are also empty, indicating that no additional setup is needed.

**Options Being Compared**

In this benchmark, we have two options being compared:

1. **Sort**: This option uses the built-in `sort()` method in JavaScript to find the maximum value in an array.
2. **Loop**: This option uses a simple loop (a for...of loop) to iterate through the array and find the maximum value.

**Pros and Cons of Each Approach**

**Sort:**

Pros:

* Concise and expressive code
* Built-in method, so no additional overhead for implementation

Cons:

* Can be slower due to the sorting algorithm's complexity (e.g., bubble sort, merge sort)
* May not perform well on large datasets or edge cases

**Loop:**

Pros:

* Generally faster than the built-in `sort()` method
* More control over iteration and indexing
* Suitable for large datasets or custom logic

Cons:

* Requires explicit loop management (indexing, incrementing, etc.)
* Can be more verbose and less readable

**Library Usage**

There is no library explicitly mentioned in the benchmark definition. However, the `sort()` method relies on the JavaScript Array.prototype.sort() function, which is a built-in part of the language.

**Special JS Feature or Syntax**

No special features or syntax are used in these test cases. They are straightforward, vanilla JavaScript implementations.

**Other Alternatives**

If you were to implement this benchmark with alternative approaches, some options could be:

1. **Using `Math.max()`**: Instead of implementing a loop or using the `sort()` method, you could use the built-in `Math.max()` function.
2. **Using a more efficient sorting algorithm**: Depending on your specific requirements and dataset size, you might consider using a more efficient sorting algorithm like quicksort or heapsort.
3. **Parallelizing the test**: If you had access to multi-threading capabilities, you could parallelize the test cases to take advantage of multiple CPU cores.

Keep in mind that these alternatives would require changes to the benchmark definition and implementation, but they might provide interesting insights into performance optimization strategies.

I hope this explanation helps!

Related benchmarks:

sort vs loop to find max (version: 0)

Comparing performance of: sort vs loop

Created: 3 years ago by: Guest

Jump to the latest result

sort

loop

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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