Benchmark: Date object vs Number comparison

Script Preparation code:

var d1 = new Date();
var d2 = new Date();
var n1 = 4;
var n2 = 4;
var dr = false;
var nr = false;

Tests:

d1 > d2
dr = d1 > d2;
n1 > n2
nr = n1 > n2;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
d1 > d2
n1 > n2

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/107.0.0.0 Safari/537.36

Browser/OS: Chrome 107 on Windows

View result in a separate tab

Test name	Executions per second
d1 > d2	2510615.2 Ops/sec
n1 > n2	4484658.5 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 explain what's being tested.

**What is being tested?**

The provided JSON represents a JavaScript microbenchmark that compares the performance of comparing two types of values: Date objects and numbers. The benchmark tests the execution time of two simple comparison operations:

1. `d1 > d2` (comparing two Date objects)
2. `n1 > n2` (comparing two numbers)

**Options compared**

The options being compared are:

* Comparing a Date object (`d1`) with another Date object (`d2`)
* Comparing a number (`n1`) with another number (`n2`)

**Pros and Cons of each approach:**

Comparing a Date object with another Date object:
Pros:

* Less likely to cause rounding errors or other precision issues
* Can take advantage of browser optimizations for comparing dates

Cons:

* May be slower due to the overhead of working with Date objects
* Less intuitive and more complex than comparing numbers

Comparing a number with another number:
Pros:

* Faster execution time, as numbers are typically optimized for comparison
* More intuitive and easier to understand

Cons:

* May cause rounding errors or other precision issues if the numbers are not exact values

**Other considerations:**

The benchmark does not consider other factors that might affect performance, such as:

* The number of iterations or the complexity of the comparison logic
* The specific hardware or software configuration being used
* The presence of any additional overhead or delays in the system

**Library and special JS features:**

There are no libraries mentioned in the benchmark definition. However, it's worth noting that some browsers may optimize certain comparisons using built-in features like SIMD (Single Instruction, Multiple Data) instructions.

No special JavaScript features are being tested in this benchmark. The comparison operations are basic and do not rely on any specific syntax or features.

**Alternatives:**

Other alternatives for comparing values could include:

* Using a library like `lodash` or `moment.js` that provides optimized date comparison functions
* Implementing custom comparison logic using bitwise operators or other low-level techniques
* Using a different data structure, such as an array of numbers or dates, and iterating over it to perform the comparison

In terms of measuring performance, alternatives could include:

* Using a different benchmarking framework or tool
* Running multiple iterations with different inputs or scenarios
* Incorporating additional metrics or analysis, such as memory usage or CPU utilization

Related benchmarks:

Date object vs Number comparison (version: 0)

Seeks to determine if there is a significant difference between comparing Date objects vs numbers. In performance critical scenarios, it may be possible to convert dates to numbers using "getTime," before entering intensive code.

Comparing performance of: d1 > d2 vs n1 > n2

Created: 3 years ago by: Guest

Jump to the latest result

d1 > d2

n1 > n2

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):