Benchmark: Date to time calculation

Script Preparation code:

var date = new Date();
window.test_results = {};

Tests:

Date() methods
let hours = date.getHours(); let minutes = date.getMinutes(); let seconds = date.getSeconds(); let mseconds = date.getMilliseconds(); window.test_results['date methods'] = {hours: hours, minutes: minutes, seconds: seconds, mseconds: mseconds};
Individual calculations
let msec = parseInt(date, 10) let sec_num = msec * 0.001; let hours = Math.floor(sec_num / 3600); let minutes = Math.floor((sec_num - (hours * 3600)) / 60); let seconds = sec_num - (hours * 3600) - (minutes * 60); let mseconds = Math.floor(msec - seconds * 1000); window.test_results['individual calculations'] = {hours: hours, minutes: minutes, seconds: seconds, mseconds: mseconds};
Modulus calculations
let msec = parseInt(date, 10) let sec_num = msec * 0.001; let hours = Math.floor(sec_num / 3600); let minutes = Math.floor((sec_num % 3600) / 60); let seconds = Math.floor(sec_num % 60); let mseconds = Math.floor(msec % seconds); window.test_results['modulus calculations'] = {hours: hours, minutes: minutes, seconds: seconds, mseconds: mseconds};

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Date() methods
Individual calculations
Modulus calculations

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks.

**Benchmark Overview**

The provided benchmark, "Date to time calculation", compares three different methods of converting a Date object to hours, minutes, seconds, and milliseconds. The goal is to measure which method is the most efficient in terms of execution speed.

**Test Cases**

There are three test cases:

1. **Date() methods**: This approach extracts each component (hours, minutes, seconds, and milliseconds) directly from the Date object using its respective methods.
2. **Individual calculations**: This approach calculates each component separately, without relying on the Date object's built-in methods. Instead, it uses basic arithmetic operations to derive the values.
3. **Modulus calculations**: This approach uses modulus operations to extract the components from the Date object.

**Comparison of Approaches**

Each approach has its pros and cons:

* **Date() methods**:
	+ Pros: Directly extracts each component from the Date object, eliminating unnecessary calculations.
	+ Cons: May be slower due to the overhead of calling multiple methods on the Date object.
* **Individual calculations**:
	+ Pros: Simple arithmetic operations can be faster than method calls on the Date object.
	+ Cons: Requires more computations, which may lead to increased CPU usage and slower results.
* **Modulus calculations**:
	+ Pros: Can potentially be faster by reducing the number of operations required.
	+ Cons: May introduce integer overflow or precision issues when dealing with very large dates.

**Libraries and Special Features**

There are no libraries explicitly mentioned in the benchmark, but it's worth noting that the `Date` object is a built-in JavaScript construct. No special features are used in this benchmark.

**Alternative Approaches**

If you were to modify or extend this benchmark, some alternative approaches you could consider:

* **Use `Date.getTime()`**: Instead of using individual methods (e.g., `getHours()`, `getMinutes()`), use the `getTime()` method to retrieve a timestamp as an integer. This can be more efficient for large date ranges.
* **Use `Math.abs` and `Math.floor`**: When performing calculations, consider using `Math.abs` to avoid potential issues with negative numbers and `Math.floor` to round down to the nearest whole number.
* **Profile optimization techniques**: If performance is critical, you could use profiling tools to identify hotspots in your code and apply optimizations specifically targeting those areas.

These are just a few ideas for extending or modifying this benchmark. The choice of approach ultimately depends on the specific requirements and constraints of your project.

Latest run results:

Run details: (Test run date: 4 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.116 Safari/537.36

Browser/OS: Chrome 83 on Linux

View result in a separate tab

Test name	Executions per second
Date() methods	331856.5 Ops/sec
Individual calculations	70059.4 Ops/sec
Modulus calculations	66452.6 Ops/sec

Related benchmarks:

Date to time calculation (version: 0)

Comparison of different methods of converting a Date object to hours, minutes, seconds and milliseconds.

Comparing performance of: Date() methods vs Individual calculations vs Modulus calculations

Created: 8 years ago by: Registered User

Jump to the latest result

Date() methods

Individual calculations

Modulus calculations

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 25 days ago):