Benchmark: JS if/if vs if/else if vs boolean check

Script Preparation code:

var test = 'test'
var test1 = true;
var test2 = true;
var test3 = true;
var test4 = true;
var test5 = true;
var testX = true;

Tests:

if/if
if (test === 'test1') { return true; } if (test === 'test2') { return true; } if (test === 'test3') { return true; } if (test === 'test4') { return true; } if (test === 'test5') { return true; }
if/else if
if (test === 'test1') { return true; } else if (test === 'test2') { return true; } else if (test === 'test3') { return true; } else if (test === 'test4') { return true; } else if (test === 'test5') { return true; }
multiple vars
if (test1 === true) { return true; } if (test2 === true) { return true; } if (test3 === true) { return true; } if (test4 === true) { return true; } if (test5 === true) { return true; }
single var
if (testX === true) { return true; } if (testX === true) { return true; } if (testX === true) { return true; } if (testX === true) { return true; } if (testX === true) { return true; }
else
if (test1 === true) { return true; } else if (test2 === true) { return true; } else if (test3 === true) { return true; } else if (test4 === true) { return true; } else if (test5 === true) { return true; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
if/if
if/else if
multiple vars
single var
else

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 3 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the benchmark and explain what's being tested.

**Benchmark Overview**

The benchmark tests the performance difference between using multiple `if` statements versus an open-ended `if/else if` statement and also comparing single variable usage to multiple variables. The test cases aim to evaluate which approach is faster, taking into account various scenarios with different conditions and executions.

**Options Compared**

1. **Multiple `if` statements**: Each condition is checked independently using a separate `if` statement.
2. **Open-ended `if/else if` statement**: A single `if` statement with multiple `else if` clauses to check for specific conditions.
3. **Single variable usage**: All variables are used in a single `if` statement to evaluate each condition.
4. **Multiple variables**: Each variable is used in a separate `if` statement to evaluate its individual conditions.

**Pros and Cons**

1. **Multiple `if` statements**:
	* Pros: Easy to read, understand, and maintain; allows for clear separation of conditions.
	* Cons: May lead to longer execution times due to the overhead of multiple function calls or checks.
2. **Open-ended `if/else if` statement**:
	* Pros: Can be more efficient than multiple `if` statements, as only one evaluation is required.
	* Cons: May be harder to read and understand for complex conditions; can lead to deep nesting, making maintenance challenging.
3. **Single variable usage**:
	* Pros: Reduces overhead by minimizing the number of function calls or checks.
	* Cons: Can make code harder to read and understand if all conditions are evaluated in a single statement.
4. **Multiple variables**:
	* Pros: Allows for clear separation of individual conditions, making code easier to read and maintain.
	* Cons: May lead to longer execution times due to the overhead of multiple function calls or checks.

**Library Usage**

The benchmark script uses JavaScript, which is a dynamically-typed language that doesn't require explicit type declarations. The `if` statements are executed directly in the browser environment without any additional libraries.

**Special JS Features**

The benchmark tests the performance of different code structures using standard JavaScript features without invoking special or experimental syntax like async/await, try-catch blocks, or functional programming constructs (e.g., arrow functions).

**Alternative Approaches**

To improve performance or readability, developers might consider alternative approaches:

* Using a lookup table or array to quickly evaluate conditions.
* Leveraging bitwise operations for efficient conditional checks.
* Employing caching mechanisms to store and reuse results of expensive function calls or computations.
* Optimizing code by reducing unnecessary computations or eliminating redundant evaluations.

Keep in mind that the choice of approach depends on the specific requirements, constraints, and performance considerations of your project.

Latest run results:

Run details: (Test run date: 2 months ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36

Browser/OS: Chrome 127 on Windows

View result in a separate tab

Test name	Executions per second
if/if	2162383.0 Ops/sec
if/else if	2106444.0 Ops/sec
multiple vars	9061625.0 Ops/sec
single var	8871654.0 Ops/sec
else	8476568.0 Ops/sec

Related benchmarks:

JS if/if vs if/else if vs boolean check (version: 0)

Benchmark of the speed difference between using multiple IF statements and an open-ended IF/ELSE IF.

Comparing performance of: if/if vs if/else if vs multiple vars vs single var vs else

Created: 2 months ago by: Guest

Jump to the latest result

if/if

if/else if

multiple vars

single var

else

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Sumamry (model llama3.2:3b, generated 3 days ago):