Benchmark: IF vs Array.includes()

Script Preparation code:

var value = 'A';

Tests:

if
const contains = value === 'A' || value === 'B' || value === 'C' || value === 'D' || value === 'E' || value === 'F';
Array contains
const contains = ['A','B','C','D','E','F'].includes(value);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
if
Array contains

Fastest: N/A

Slowest: N/A

Latest run results:

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

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Let's break down the benchmark and its components.

**Benchmark Definition:**

The benchmark is designed to compare two approaches: using an `if` statement with multiple conditions and using the `Array.includes()` method.

**Script Preparation Code:**

The script preparation code defines a variable `value` as a string containing one of six possible values: 'A', 'B', 'C', 'D', 'E', or 'F'. This value is used in both test cases.

**Html Preparation Code:**

There is no HTML preparation code, which means that the benchmark only tests JavaScript execution performance and does not consider browser rendering or layout-related aspects.

**Test Cases:**

The benchmark consists of two individual test cases:

1. **"if"`**: This test case uses an `if` statement with multiple conditions to check if the `value` variable is equal to one of the six possible values.
2. **"Array contains"`**: This test case uses the `Array.includes()` method to check if the `value` variable is present in an array containing the six possible values.

**Library and Special JavaScript Features:**

Neither of these test cases relies on any external libraries or special JavaScript features, such as async/await or arrow functions. The code is straightforward and focuses solely on the performance comparison between two different approaches.

**Options Compared:**

The benchmark compares the following options:

1. **Multiple `if` statements**: This approach uses a series of nested `if` statements to check if the `value` variable matches any of the six possible values.
2. **Array `includes()` method**: This approach uses the `Array.includes()` method, which is a built-in JavaScript method that returns a boolean value indicating whether an element is present in the array.

**Pros and Cons:**

1. **Multiple `if` statements**:
	* Pros:
		+ Simple to understand and implement.
		+ Can be optimized using techniques like short-circuit evaluation.
	* Cons:
		+ May have higher overhead due to the repeated checks and possible branches.
2. **Array `includes()` method**:
	* Pros:
		+ More concise and expressive than multiple `if` statements.
		+ Often optimized by browsers, reducing performance overhead.
	* Cons:
		+ May not be as intuitive or easy to understand for some developers.

**Other Considerations:**

1. **Branch prediction**: Modern CPUs have branch prediction mechanisms that can significantly impact the performance of conditional statements like `if`. However, this is an inherent aspect of the code and not specific to the benchmark.
2. **Cache performance**: The performance difference between these two approaches may be influenced by cache effects, as modern browsers often use caching mechanisms to optimize page loading.

**Alternatives:**

If you wanted to create a similar benchmark for other JavaScript scenarios, some alternatives could include:

* Comparing string matching using `String.indexOf()` or `String.includes()` instead of multiple `if` statements.
* Examining the performance of different data structures (e.g., arrays vs. linked lists) in search operations.
* Investigating the impact of various algorithmic complexities (e.g., linear vs. quadratic time complexity) on JavaScript performance.

These benchmarks would require similar setup and execution, using the same scripting and HTML preparation codes as MeasureThat.net.

Related benchmarks:

IF vs Array.includes() (version: 0)

Comparing performance of: if vs Array contains

Created: 2 years ago by: Guest

Jump to the latest result

if

Array contains

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):