Benchmark: JS BigInt small number performance

Script Preparation code:

var bigInt1 = 10n
var bigInt2 = 50n
var number1 = 10
var number2 = 50

Tests:

BigInt
a = bigInt1 b = bigInt2 c = a - b c = a % b c = a * b c = a + b c = a ** b
Number
a = number1 b = number2 c = a - b c = a % b c = a * b c = a + b c = a ** b

Historical Performance Data aggregated from 5 community runs

Desktop Results:

Chrome 5 runs

Number

1.2M/s

BigInt

903K/s

Fastest: Number (1.3x faster)

View exact numbers

✓ Number: 1,179,270 ops/sec
• BigInt: 903,430 ops/sec

Results show median performance across all community submissions. Run this benchmark yourself to verify on your device.

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
BigInt
Number

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36

Browser/OS: Chrome 138 on Windows

View result in a separate tab

Number

1.2M/s

BigInt

836K/s

View exact numbers

Test name	Executions per second
✓ Number	1,159,411 Ops/sec
BigInt	836,225 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

Let's break down the provided JSON data and explain what's being tested, compared, and considered.

**Benchmark Definition**

The benchmark is comparing two approaches for arithmetic operations on small numbers:

1. **BigInt**: JavaScript's built-in `BigInt` type, which provides support for arbitrary-precision integers.
2. **Number**: The traditional JavaScript number type, which uses 64-bit floating-point representation (or 32-bit integer in older browsers).

**Script Preparation Code**

The script preparation code defines the variables used in the benchmark:

* `bigInt1` and `bigInt2`: `BigInt` values set to small numbers.
* `number1` and `number2`: Traditional JavaScript number values set to small numbers.

**Html Preparation Code**

This field is empty, indicating that no HTML-specific setup or cleanup is required for this benchmark.

**Individual Test Cases**

There are two test cases:

1. **BigInt**: This test case performs arithmetic operations on the `bigInt1` and `bigInt2` values using the `BigInt` type.
	* Operations:
		+ Subtracting (`a - b`)
		+ Modulo (`a % b`)
		+ Multiplying (`a * b`)
		+ Adding (`a + b`)
		+ Exponentiation (`a ** b`)
2. **Number**: This test case performs the same arithmetic operations on the `number1` and `number2` values using the traditional JavaScript number type.

**Comparison**

The benchmark compares the execution times of these two approaches for each operation. The goal is to determine which approach (or combination) is faster, more efficient, or more suitable for specific use cases.

**Pros and Cons:**

* **BigInt**:
	+ Pros:
		- Supports arbitrary-precision arithmetic.
		- Can handle very large numbers efficiently.
	+ Cons:
		- Performance overhead compared to traditional number types.
		- May be slower due to the JavaScript engine's handling of large integers.
* **Number**:
	+ Pros:
		- Native performance in most cases.
		- Often sufficient for small to medium-sized arithmetic operations.
	+ Cons:
		- Limited range and precision compared to `BigInt`.
		- Can overflow or underflow with very large numbers.

**Other Considerations:**

* **Library usage**: The benchmark uses the `bigint` property, which is a built-in JavaScript feature. This means that any differences in performance are likely due to the specific implementation of the arithmetic operations rather than any external library.
* **Special JS features or syntax**: There's no mention of special JavaScript features or syntax being used, so we can assume that the focus is on the basic arithmetic operations.

**Alternatives:**

If you need to perform large-scale arithmetic operations or work with very large numbers, other alternatives might include:

1. **Libraries**: Specialized libraries like `big-integer` (Node.js) or `decimal.js` (JavaScript) can provide more efficient and accurate implementations for arbitrary-precision arithmetic.
2. **Native extensions**: Some JavaScript engines allow native compilation of performance-critical code using languages like C++ or Rust. These approaches can offer significant performance gains but require more expertise to set up.
3. **Alternative data types**: Depending on the specific use case, alternative data types like `Number` with a large exponent (e.g., `Number.MAX_SAFE_INTEGER`) or specialized libraries for numerical computations might be considered.

Keep in mind that this analysis assumes a general JavaScript environment. If you have more specific requirements or constraints, the best approach will depend on those factors.

JS BigInt small number performance (version: 0)

Compare Number vs BigInt for small numbers

Comparing performance of: `BigInt vs Number`

Created: 4 years ago by: Guest

Go to the latest result

BigInt

Number

Historical Performance Data aggregated from 5 community runs

Desktop Results:

Chrome 5 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

JS BigInt small number performance (version: 0)

Compare Number vs BigInt for small numbers

Comparing performance of: BigInt vs Number

Created: 4 years ago by: Guest

Go to the latest result

BigInt

Number

Historical Performance Data aggregated from 5 community runs

Desktop Results:

Chrome 5 runs

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

Related benchmarks

Comparing performance of: `BigInt vs Number`