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JS BigInt big number performance v4
(version: 0)
Compare Number vs BigInt for big numbers
Comparing performance of:
BigInt vs Number
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var bigInt1 = 1000000n var bigInt2 = 50n var number1 = 1000000 var number2 = 50
Tests:
BigInt
a = bigInt1 b = bigInt2 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
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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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 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36
Browser/OS:
Chrome 132 on Mac OS X 10.15.7
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Embed Benchmark Result
Test name
Executions per second
BigInt
2398922.5 Ops/sec
Number
2545217.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the explanation of the provided benchmark. **What is being tested?** MeasureThat.net is testing two approaches to perform arithmetic operations on large numbers: `Number` and `BigInt`. The test case uses JavaScript to create instances of these data types, performs various arithmetic operations (addition, subtraction, multiplication, division), and measures the execution time. **Options compared** The comparison focuses on the performance differences between using `Number` and `BigInt` for large number arithmetic. The key options are: 1. **Number**: A built-in JavaScript type that represents a 64-bit floating-point number. 2. **BigInt**: Introduced in ECMAScript 2020, it's a dedicated data type for arbitrary-precision integers. **Pros and Cons** Using `Number` has some pros: * It's widely supported across browsers and Node.js versions. * Performing arithmetic operations on large numbers using `Number` can lead to floating-point precision issues due to the inherent limitations of binary representation. * It may use less memory compared to `BigInt`. However, `Number` also has some cons: * Performance might be slower for very large numbers due to the overhead of converting between integer and float representations. * Results may not be accurate for arithmetic operations that involve rounding or truncation. Using `BigInt` has some pros: * It provides a dedicated data type for arbitrary-precision integers, which can lead to more accurate results and better performance for very large numbers. * It's designed specifically for this purpose, making it easier to handle large number arithmetic. However, `BigInt` also has some cons: * It might not be supported in older browsers or Node.js versions. * It may use more memory compared to `Number`. **Library and its purpose** In the provided benchmark, the `bigInt1` and `bigInt2` variables are instances of the `BigInt` type. These instances represent large integers that are used for arithmetic operations. The `number1` and `number2` variables are instances of the `Number` type, representing large numbers. **Special JS feature or syntax** There is no special JavaScript feature or syntax explicitly mentioned in this benchmark. However, it's worth noting that some modern browsers support additional features like arbitrary-precision arithmetic, which might be used under the hood to optimize performance. **Other alternatives** If `BigInt` is not available or supported in your environment, other alternatives include: 1. **External libraries**: You can use external libraries like `decimal.js` or ` big.js`, which provide arbitrary-precision arithmetic capabilities. 2. **Native libraries**: Some platforms have native libraries for high-performance arithmetic, such as `GMP` (GNU Multiple Precision Arithmetic Library) on Linux systems. 3. **Manual implementation**: As a last resort, you can implement your own arbitrary-precision arithmetic algorithm using bitwise operations and shifts. Keep in mind that these alternatives might require additional setup or configuration, and their performance may vary depending on the specific use case.
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