let number = Number(Math.random().toString());
let unary = +Math.random().toString();
let parse = parseFloat(Math.random().toString());
let parse = parseInt(Math.random().toString());
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Number | |
Unary + | |
parseFloat | |
parseInt |
Test name | Executions per second |
---|---|
Number | 13218616.0 Ops/sec |
Unary + | 13189420.0 Ops/sec |
parseFloat | 13211167.0 Ops/sec |
parseInt | 14069625.0 Ops/sec |
Benchmark Overview
The provided benchmark is designed to test the performance of different numerical value creation methods in JavaScript: Number
, unary +
, parseFloat
, and parseInt
. The goal is to compare the execution speed of these methods.
Options Compared
The four options being compared are:
Number
: Creates a number from a string using the built-in Number
function.+
: Uses the unary +
operator to create a number from a string (e.g., +Math.random().toString()
).parseFloat
: Creates a floating-point number from a string using the parseFloat
function.parseInt
: Creates an integer from a string using the parseInt
function.Pros and Cons of Each Approach
Number
:+
:parseFloat
:Number
for floating-point values, handles NaN inputs better.Number
or unary +
due to the parsing logic.parseInt
:Library Usage
None of the individual test cases use a library beyond the built-in JavaScript functions (Number
, parseFloat
, and parseInt
).
Special JS Feature or Syntax
The benchmark uses a simple, feature-rich syntax:
Math.random().toString()
: Generates a random string representation of a number, which is then passed to the numerical creation methods.+
: The unary +
operator is used to convert the string to a number.Other Considerations
The benchmark's use of random strings and the focus on execution speed make it suitable for comparing performance characteristics of these numerical creation methods. However, keep in mind that this benchmark only tests the JavaScript engine's performance on specific inputs and may not accurately represent real-world usage scenarios.
In terms of alternatives, other benchmarks might test different aspects of numerical value creation, such as precision, rounding mode, or handling edge cases like infinity and NaN values.