Benchmark: If vs && vol.2 - MeasureThat.net

Script Preparation code:

var a = 5, b = 10;

Tests:

If
if (a === b) return true;
&&
return a === b && true;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
If
&&

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36

Browser/OS: Chrome 96 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
If	7886123.0 Ops/sec
&&	7927988.0 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to explain the benchmark and its results.

**What is tested?**

MeasureThat.net tests two different approaches to evaluate the performance of JavaScript conditional statements:

1. **If statement**: The first test case evaluates the expression `if (a === b) return true;`, where `a` and `b` are variables with values 5 and 10, respectively.
2. **AND operator (`&&`) comparison**: The second test case evaluates the expression `return a === b && true;`. This is a common pattern in JavaScript, where the result of an assignment operation is ignored to satisfy a condition.

**Options compared**

Two options are being tested:

1. **If statement**: Evaluates the conditional expression using an if statement.
2. **AND operator comparison**: Uses the AND operator (`&&`) to evaluate the condition, even though the `return` statement would normally be executed regardless of the result.

**Pros and Cons of each approach**

1. **If statement**:
	* Pros: Can be more readable and maintainable for complex conditions.
	* Cons: May introduce unnecessary overhead due to function call and return statements.
2. **AND operator comparison**:
	* Pros: Simple, concise, and efficient for simple conditions like this one.
	* Cons: May lead to unexpected behavior if not used correctly (e.g., ignoring the `return` statement).

**Other considerations**

In general, when evaluating performance-critical code paths, it's essential to consider factors like:

* Function call overhead
* Return statement overhead
* Branch prediction accuracy

**Library and special features used in test case**

None of the test cases use any libraries or special JavaScript features.

**Alternative approaches**

To evaluate the performance of conditional statements, alternative approaches could include:

1. **Using a different comparison operator**: Instead of using `===` for strict equality, you might use `==` (loose equality) or `===` with a flag to detect type coercion.
2. **Using a more efficient condition evaluation method**: For example, some JavaScript engines optimize branch prediction by allowing early returns from conditional statements.
3. **Measuring the performance of other control flow constructs**, such as loops, switch statements, or try-catch blocks.

Keep in mind that these alternatives would require modifications to the test cases and might not provide a direct comparison with the original `if` statement and `AND operator` tests.

Related benchmarks:

If vs && vol.2 (version: 0)

Comparing performance of: If vs &&

Created: 3 years ago by: Guest

Jump to the latest result

If

&&

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):