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Compare nums1
(version: 0)
Benchmark.js
Comparing performance of:
native num vs bigint
Created:
2 years ago
by:
Guest
Go to the latest result
Tests:
native num
var a = 7332420547147466000; var b = 7332420547147466001; var c = a > b;
bigint
var a = 7332420547147466000n; var b = 7332420547147466001n; var 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
native num
bigint
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36
Browser/OS:
Chrome 121 on Mac OS X 10.15.7
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Embed Benchmark Result
bigint
184.1M/s
native num
180.3M/s
View exact numbers
Test name
Executions per second
✓
bigint
184,108,320 Ops/sec
native num
180,341,632 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'd be happy to help explain what's being tested in the provided benchmark. **Overview** The benchmark compares two ways of performing numerical comparisons in JavaScript: using native numbers (`Number`) and using BigInt (a built-in type introduced in ECMAScript 2020). The goal is to determine which method is faster and more efficient for large number comparisons. **Native Numbers vs. BigInt** In the provided benchmark, we have two test cases: 1. **"native num"**: This test case uses native numbers (`Number`) to perform a comparison between two large integers. 2. **"bigint"**: This test case uses BigInt (a built-in type) to perform the same comparison. **Comparison Options** The options being compared are: * Native Numbers (`Number`): This is the traditional way of representing numbers in JavaScript. It's a 64-bit floating-point number, which means it can handle very large numbers but may not be suitable for cryptographic or high-precision applications. * BigInt: This is a new type introduced in ECMAScript 2020, designed specifically for high-performance integer arithmetic. It uses a fixed-size representation (either 32 bits or 64 bits, depending on the platform) and provides more efficient operations than native numbers for large integers. **Pros and Cons** Here are some pros and cons of each approach: * **Native Numbers (`Number`)**: + Pros: - Widely supported by most JavaScript engines. - Easy to implement. - Good performance for small to medium-sized numbers. + Cons: - May overflow or lose precision for very large numbers. - Not suitable for cryptographic or high-precision applications. * **BigInt**: + Pros: - Optimized for high-performance integer arithmetic. - Suitable for cryptographic and high-precision applications. - Provides more accurate results than native numbers for large integers. + Cons: - May not be supported by older JavaScript engines (e.g., Internet Explorer). - Requires careful handling of edge cases (e.g., overflow, underflow). **Library Usage** There is no library used in this benchmark. The test cases only involve standard JavaScript syntax. **Special JS Feature or Syntax** The benchmark uses the `n` suffix to denote BigInt literals, which is a new feature introduced in ECMAScript 2020. This allows developers to explicitly specify that they want to use BigInt for integer operations. **Other Alternatives** If you need to compare large integers but don't have access to BigInt, some alternative approaches include: * Using a library like `big-integer` or `decimal.js`, which provide arbitrary-precision arithmetic. * Implementing your own custom arithmetic functions using bit manipulation and bitwise operations. * Using a language like C++ or Rust, which offer more efficient integer arithmetic capabilities. Keep in mind that each approach has its trade-offs, and the choice of method ultimately depends on the specific requirements of your project.
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