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Item getting in typed array vs simple array
(version: 0)
Comparing performance of:
typedArray vs array
Created:
5 years ago
by:
Guest
Go to the latest result
Script Preparation code:
var size = 1024; var typedArray = new Float64Array(size); var array = new Array(size); for(let i = 0; i < size; i++) { typedArray[i] = Math.random(); array[i] = Math.random(); }
Tests:
typedArray
const a = typedArray[Math.round(Math.random() * size)]
array
const a = array[Math.round(Math.random() * size)]
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
typedArray
array
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
7 months ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:146.0) Gecko/20100101 Firefox/146.0
Browser/OS:
Firefox 146 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=622851" width="100%" height="500px"></iframe>
typedArray
768.0M/s
array
137.3M/s
View exact numbers
Test name
Executions per second
✓
typedArray
767,986,176 Ops/sec
array
137,320,320 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's dive into the world of JavaScript microbenchmarks! **What is being tested?** The provided JSON represents two test cases that compare the performance of accessing elements in typed arrays versus simple arrays. Specifically, the tests measure how fast it is to retrieve an element from each type of array using a mathematical expression. **Options compared:** There are two options being compared: 1. **Typed Arrays**: Typed arrays are a collection of values of the same type, such as `Float64Array` or `IntArray`. They offer several benefits over traditional JavaScript arrays, including: * Improved memory efficiency * Better performance for numerical computations * Simplified data types (e.g., no need to check type explicitly) 2. **Simple Arrays**: Simple arrays are the traditional JavaScript array data structure. **Pros and Cons:** **Typed Arrays:** Pros: * Improved memory efficiency, which can lead to better performance * Simplified data types, making code easier to read and write Cons: * May not be compatible with older browsers or environments that don't support typed arrays * Can be slower in certain situations (e.g., when dealing with large datasets) **Simple Arrays:** Pros: * Wide compatibility across browsers and environments * Often faster for small to medium-sized datasets Cons: * More verbose code, requiring explicit type checking * May lead to memory inefficiencies for large datasets **Other Considerations:** When choosing between typed arrays and simple arrays, consider the specific requirements of your project. If you're working with numerical computations or need improved memory efficiency, typed arrays might be a better choice. However, if compatibility is crucial or performance isn't a top priority, simple arrays may be sufficient. **Library Used:** The `Float64Array` constructor is used in the benchmark to create a typed array of 64-bit floating-point numbers. This library provides an efficient way to work with large numerical datasets. **Special JS Feature/Syntax:** None mentioned in this specific benchmark. However, some other notable features and syntax include: * **let` and `const`: Block-scoped variables that ensure variable hoisting is only executed once. * **Arrow Functions`: Simplified function expressions that eliminate the need for explicit `function` declarations. **Alternative Benchmarking Frameworks:** If you're interested in exploring alternative benchmarking frameworks, consider the following options: 1. **BenchMarkDotJS**: A popular open-source benchmarking framework for JavaScript. 2. **Benchmark.js**: Another widely-used framework for writing and running benchmarks. 3. **JSDOM`: A JavaScript implementation of the DOM, which can be used for testing and benchmarking web applications. These frameworks offer features like automatic test case generation, parallel execution, and detailed profiling, making it easier to write efficient and reliable benchmarks.
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