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

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.apply(Math, values);
Reduce
return values.reduce((prev, curr) => { if (curr > prev) return curr; return prev; }, 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:

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 break down the provided benchmark and explain what is being tested, compared, and their pros and cons.

**Benchmark Overview**

The benchmark compares the performance of two approaches to find the maximum value in an array:

1. `Math.max()`: uses the built-in `Math.max()` function with the `apply()` method to pass the array as a single argument.
2. `Array.reduce()`: uses the `Array.prototype.reduce()` method with a custom callback function to accumulate and return the maximum value.

**Benchmark Preparation Code**

The script preparation code generates an array of 5000 elements, where each element is the remainder of its index divided by 20 (i.e., values range from 0 to 19). This creates a relatively uniform distribution of values in the array.

**Html Preparation Code**

There is no HTML preparation code provided, which suggests that the benchmark only focuses on JavaScript performance and doesn't include any additional overhead from HTML parsing or rendering.

**Library Usage**

In this benchmark, the `Array.prototype.reduce()` method is used. The `reduce()` method is a part of the ECMAScript standard (ES6+), and its purpose is to reduce an array to a single value by accumulating results in an accumulator function. In this case, the callback function takes two arguments (`prev` and `curr`) and returns the maximum value.

**Special JS Feature/Syntax**

There are no special JavaScript features or syntaxes used in this benchmark beyond what's required for the comparison (e.g., `apply()` method).

**Benchmark Results**

The latest benchmark results show that:

* On a Desktop, Chrome 99 browser with an execution rate of approximately 53767 executions per second, the `Array.prototype.reduce()` approach is faster.
* However, the difference in performance between `Math.max()` and `Array.prototype.reduce()` is relatively small.

**Pros and Cons**

**`Math.max()`:**

Pros:

* Easy to understand and use
* Wide browser support (built-in function)
* Simple implementation

Cons:

* May not be optimized for performance compared to custom implementations
* Requires the `apply()` method, which can introduce additional overhead in some browsers

**`Array.prototype.reduce()`:**

Pros:

* Customizable and flexible
* Can be optimized for specific use cases
* Allows for early termination or other optimizations

Cons:

* May require more code and expertise to implement correctly
* Less intuitive than `Math.max()` for beginners

**Other Alternatives**

If you wanted to test alternative approaches, some options could include:

1. Using a custom implementation of the maximum value algorithm (e.g., sorting the array).
2. Comparing the performance of different data structures or algorithms (e.g., binary search vs. linear search).
3. Measuring the impact of browser-specific optimizations or quirks on performance.

However, these alternatives would likely require significant changes to the benchmark definition and implementation to be relevant and meaningful.

Related benchmarks:

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

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

Comparing performance of: Math.max vs Reduce

Created: 4 years ago by: Guest

Jump to the latest result

Math.max

Reduce

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):