Benchmark: Number vs + vs parseInt 1

Tests:

Number
let number = Number(Math.random().toString());
Unary +
let unary = +Math.random().toString();
parseInt
let parse = parseInt(Math.random().toString(), 10);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Number
Unary +
parseInt

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36

Browser/OS: Chrome 96 on Windows

View result in a separate tab

Test name	Executions per second
Number	1440472.9 Ops/sec
Unary +	1902177.4 Ops/sec
parseInt	1755263.8 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and its test cases.

**What is being tested?**

The provided JSON represents a JavaScript microbenchmark that compares three different approaches to convert a random string to a number:

1. **Number()**: The `Number()` function attempts to parse the input as a decimal number.
2. **Unary +**: The unary plus operator (`+`) is used to convert the string to a number. This method explicitly converts the string to a number by adding it to zero (`0 + "string"`).
3. **parseInt()**: The `parseInt()` function attempts to parse the input as an integer, specifying a radix (base) of 10.

**Options compared**

The three test cases are designed to measure the performance differences between these three approaches:

* **Number():** This approach is likely to be slower due to its more complex parsing logic and potential regular expression usage.
* **Unary +:** This approach is simple and efficient, as it only involves a basic string concatenation operation followed by an addition.
* **parseInt():** This approach is similar to unary + but uses the `parseInt()` function to perform the conversion.

**Pros and cons of each approach:**

1. **Number()**:
	* Pros: Handles floating-point numbers correctly, handles whitespace and decimal points.
	* Cons: Slower due to its complex parsing logic, may not work correctly for very large or small input values.
2. **Unary +**:
	* Pros: Simple and efficient, works well with most string inputs.
	* Cons: May not handle floating-point numbers correctly, may produce unexpected results if the input string is not a valid number.
3. **parseInt()**:
	* Pros: Handles integer conversions accurately, allows for radix specification.
	* Cons: Slower than unary + due to its parsing logic, may not work correctly with all string inputs.

**Other considerations**

The benchmark also includes metadata about the testing environment, such as:

* Browser and device platform
* Operating system
* Number of executions per second

This information is useful for understanding the performance characteristics of each approach in different environments.

**Libraries used**

None are explicitly mentioned in the provided JSON. However, it's likely that the benchmark uses built-in JavaScript functions or libraries like `Math.random()` and `NaN` (Not a Number) to generate random numbers and test cases.

**Special JS features or syntax**

The benchmark does not use any special JavaScript features or syntax beyond basic arithmetic operations and string concatenation.

Related benchmarks:

Number vs + vs parseInt 1 (version: 0)

Comparing performance of: Number vs Unary + vs parseInt

Created: 2 years ago by: Guest

Jump to the latest result

Number

Unary +

parseInt

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):