Benchmark: bigint vs number increment

Script Preparation code:

b = 1n;
n = 1;

Tests:

bigint increment
b++;
number increment
n++;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
bigint increment
number increment

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 break down the benchmark and explain what's being tested.

**Benchmark Definition**

The benchmark is comparing the performance of incrementing values of different data types: `bigint` (a 64-bit integer type in JavaScript) and `number`. The script preparation code initializes two variables, `b` and `n`, to the values `1n` (a `bigint`) and `1` (a `number`), respectively.

**Test Cases**

There are two test cases:

1. **BigInt Increment**: The benchmark definition is `b++;`, which increments the value of `b` by 1.
2. **Number Increment**: The benchmark definition is `n++;`, which increments the value of `n` by 1.

**Comparison**

The benchmark is comparing the performance of these two increment operations on different data types.

**Options Compared**

Two options are being compared:

* **BigInt (`b`) vs Number (`n`)**: This comparison evaluates how fast each data type performs when incremented.
* **Increment operation**: The increment operation is a basic arithmetic operation that increments the value by 1.

**Pros and Cons of Each Approach**

* **BigInt (`b`)**
	+ Pros:
		- Can represent very large integers, making it suitable for applications that require precise calculations with large numbers.
		- May be faster than `number` in certain cases due to its native support in the JavaScript engine.
	+ Cons:
		- May have slower performance compared to `number` for small increments or when dealing with smaller values.
* **Number (`n`)**
	+ Pros:
		- Generally faster than BigInt for small increments or when dealing with smaller values, due to its optimized implementation in the JavaScript engine.
		- More commonly used and understood by developers, making it a more familiar choice for many applications.
	+ Cons:
		- May overflow or lose precision when dealing with very large integers.

**Library Used (if applicable)**

None of the test cases explicitly use any external libraries. The benchmark only relies on built-in JavaScript features.

**Special JS Features/Syntax**

No special JavaScript features or syntax are being tested in this benchmark. The increment operation is a basic arithmetic operation that can be performed using `++` operator, which is supported by both BigInt and Number types.

**Alternatives**

Other alternatives for measuring the performance of increment operations on different data types might include:

* Using other programming languages or libraries to measure performance
* Comparing the performance of increment operations on different data structures (e.g., arrays, linked lists)
* Adding additional factors to the benchmark, such as variable scope or function calls

However, MeasureThat.net's focus on JavaScript-specific benchmarks provides a relevant and controlled environment for comparing the performance of increment operations on BigInt and Number types.

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36

Browser/OS: Chrome 114 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
bigint increment	2038844.1 Ops/sec
number increment	2045855.0 Ops/sec

Related benchmarks:

bigint vs number increment (version: 0)

compares incrementation between bigint and number types

Comparing performance of: bigint increment vs number increment

Created: one year ago by: Guest

Jump to the latest result

bigint increment

number increment

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):