Benchmark: Math.max() vs Array.reduce() 4

Script Preparation code:

var values = new Array(5000);

for (let i = 0; i < values.length; ++i) {
    values[i] = i % 20;
}

Tests:

Math.max
return Math.max(...values);
Reduce
return values.reduce(Math.max, 0);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Math.max
Reduce

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 3 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4379.0 Safari/537.36

Browser/OS: Chrome 89 on Windows

View result in a separate tab

Test name	Executions per second
Math.max	95835.1 Ops/sec
Reduce	2.2 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's dive into the explanation of what's being tested in the provided JSON benchmark.

**Benchmark Definition**

The benchmark is designed to compare the speed of two approaches: `Math.max()` and `Array.reduce()`. The test case uses an array of 5000 elements, where each element is a value between 0 and 19 (representing the modulo operation).

**Options Compared**

Two options are compared:

1. **`Math.max()`**: This function returns the largest of one or more values.
2. **`Array.reduce()`: This method applies a specified function to each element in an array, reducing it to a single value.

**Pros and Cons**

*   **`Math.max()`**:
    *   Pros: Simple to use, well-maintained, and widely supported.
    *   Cons: Can be slower for large arrays due to the overhead of function calls and comparisons.
*   `Array.reduce()`: 
    *   Pros: Flexible and powerful, allowing for more complex operations. It can also be faster for large arrays since it avoids the need for explicit loops or recursive function calls.
    *   Cons: Steeper learning curve, as it requires understanding of accumulator functions and iteration.

**Library Usage**

There is no explicit library usage in this benchmark definition.

**Special JavaScript Features/Syntax**

There are none mentioned in this example. However, keep in mind that special features like async/await, let/catch, or strict mode may affect the behavior of your code.

**Other Alternatives**

For similar benchmarks, you could explore other approaches:

*   **`Math.max()` variants**: Some browsers provide optimized `Math.max()` implementations (e.g., for large arrays).
*   `Array.prototype.reduce()`: There are also optimized implementations of this method in some browsers.
*   **Hand-written loops or recursive functions**: Implementing the same logic using loops or recursive functions can help compare their performance with these built-in methods.

**Benchmark Preparation Code and HTML Preparation Code**

The provided benchmark preparation code sets up an array of 5000 elements, each containing a value between 0 and 19. This is done to ensure that the test case has a large enough dataset for meaningful comparisons. The `Html Preparation Code` field is empty in this example.

**Test Cases**

Two individual test cases are defined:

*   **`Math.max()`**: This test case uses the built-in `Math.max()` function to find the largest value in the array.
*   **`Array.reduce()``: This test case uses the `Array.prototype.reduce()` method to achieve a similar result.

**Benchmark Results**

The latest benchmark results show the execution rates for each test case. These numbers are specific to the Chrome 89 browser and Windows operating system, running on a desktop device.

Related benchmarks:

Math.max() vs Array.reduce() 4 (version: 0)

Compare speed of Math.max() vs Array.reduce().

Comparing performance of: Math.max vs Reduce

Created: 3 years ago by: Guest

Jump to the latest result

Math.max

Reduce

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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