var timestamp = null;
timestamp = Date.now();
timestamp = new Date();
timestamp = performance.now()
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
Date.now() | |
new Date(); | |
performance.now() |
Test name | Executions per second |
---|---|
Date.now() | 4036769.2 Ops/sec |
new Date(); | 3686248.8 Ops/sec |
performance.now() | 2313808.0 Ops/sec |
Let's break down what's being tested in this benchmark.
What is being tested?
The benchmark is designed to compare the performance of three different methods to get the current time:
Date.now()
new Date()
performance.now()
These methods are used to measure the passage of time, but they have different characteristics that affect their performance.
Options being compared
The options being compared are:
Date.now()
: This method returns the number of milliseconds since the Unix Epoch (January 1, 1970, 00:00:00 UTC). It's a simple and straightforward way to get the current time.new Date()
: This method creates a new Date
object representing the current date and time. While it may seem similar to Date.now()
, creating a new Date
object can be more expensive due to object creation overhead.performance.now()
: This method returns the number of milliseconds since the performance counter was started. It's designed specifically for measuring elapsed time in high-performance applications.Pros and Cons
Here are some pros and cons of each approach:
Date.now()
:new Date()
:Date.now()
, as it creates a new object with a specific timestamp.performance.now()
:Library
None of these methods rely on any external libraries. They are all built-in JavaScript functions.
Special JS feature or syntax
There's no special JavaScript feature or syntax being used here, just standard JavaScript function calls.
Other alternatives
If you need more precise timing or want to measure time intervals in a specific unit (e.g., milliseconds, seconds), you may consider using other libraries like ms
or moment.js
. However, for simple cases where you just need to measure the passage of time, these built-in methods should be sufficient.
Keep in mind that while these methods are suitable for most use cases, there may be specific requirements for high-performance applications or situations where accuracy is critical. In such cases, more specialized libraries or frameworks might be necessary.