Benchmark: Math.max with apply vs spread vs reduce

Script Preparation code:

var arr = []
for (i = 0; i < 1000; i++) {
  arr.push(Math.random() * i)
}

Tests:

Max with apply
Math.max.apply(Math, arr)
Max with spread operator
Math.max(...arr)
Reduce
arr.reduce((a, b) => Math.max(a, b))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Max with apply
Max with spread operator
Reduce

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:136.0) Gecko/20100101 Firefox/136.0

Browser/OS: Firefox 136 on Linux

View result in a separate tab

Test name	Executions per second
Max with apply	229102.5 Ops/sec
Max with spread operator	225404.2 Ops/sec
Reduce	112593.0 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):

LLMs can make mistakes. Check important info.

Let's dive into the explanation of the provided benchmark.

**Benchmark Overview**

The benchmark, titled "Math.max with apply vs spread vs reduce," compares three different approaches to find the maximum value in an array: using `Math.max.apply()`, `Math.max()` with the spread operator (`...`), and reducing the array using the `reduce()` method.

**Options Compared**

1. **Math.max.apply()**: This approach uses the `apply()` method to call `Math.max()` with an array of arguments.
2. **Math.max(...)**: Also known as the spread operator, this syntax allows you to pass an array's elements as separate arguments to a function, in this case, `Math.max()`.
3. **arr.reduce((a, b) => Math.max(a, b))**: This approach uses the `reduce()` method to iterate over the array and find the maximum value.

**Pros and Cons of Each Approach**

1. **Math.max.apply()**:
	* Pros: Can be more efficient for very large arrays since it avoids creating intermediate arrays.
	* Cons: Requires explicit function calling, can be slower due to overhead.
2. **Math.max(...)**:
	* Pros: Readable and concise syntax, easy to understand.
	* Cons: May create temporary arrays in memory, which can lead to performance issues for very large datasets.
3. **arr.reduce((a, b) => Math.max(a, b))**:
	* Pros: Efficient for large arrays since it avoids creating intermediate arrays, readable and concise syntax.
	* Cons: Requires understanding of the `reduce()` method, may be slower than explicit array manipulation.

**Library Used**

None explicitly mentioned in the benchmark definition or test cases. However, the use of JavaScript's built-in functions like `Math.max()`, `Array.prototype.reduce()`, and spread operator (`...`) implies that standard JavaScript libraries are being used.

**Special JS Feature/Syntax**

No special features or syntax are used beyond what is required for these specific approaches. This benchmark focuses on comparing the performance of three different methods to find the maximum value in an array, without introducing additional complexities or optimizations.

**Alternatives**

For finding the maximum value in an array, other alternatives could be:

1. Using `Math.max()` with a single argument (e.g., `arr.indexOf(Math.max(...arr))`).
2. Implementing a custom sorting algorithm to find the maximum value.
3. Using parallel processing or multi-threading techniques for large datasets.

However, these alternatives are typically less efficient and more complex than the approaches compared in this benchmark.

Related benchmarks:

Math.max with apply vs spread vs reduce (version: 0)

Compare the new ES6 spread operator with the Math.max.apply method

Comparing performance of: Max with apply vs Max with spread operator vs Reduce

Created: 3 years ago by: Guest

Jump to the latest result

Max with apply

Max with spread operator

Reduce

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 6 months ago):