Benchmark: array vs Float32Array

Script Preparation code:

var a = [...Array(1000)].map(_ => Math.random());
var ta = (new Float32Array(1000)).map(_ => Math.random());

Tests:

array reverse
a.reverse();
typedArray reverse
ta.reverse();
array i/o
for (let i = 0; i < 10000; ++i) a[i] = a[i] + 1;
typedArray i/o
for (let i = 0; i < 10000; ++i) ta[i] = ta[i] + 1;

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
array reverse
typedArray reverse
array i/o
typedArray i/o

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 19 days ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/134.0.0.0 Safari/537.36

Browser/OS: Chrome 134 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
array reverse	1846514.1 Ops/sec
typedArray reverse	6425297.5 Ops/sec
array i/o	36041.9 Ops/sec
typedArray i/o	40295.8 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated 3 months ago):

LLMs can make mistakes. Check important info.

The benchmark titled **"array vs Float32Array"** evaluates the performance differences between standard JavaScript arrays and typed arrays, specifically the `Float32Array`, in handling common operations.

### Benchmark Overview

1. **Benchmark Options:**
   - **Standard Arrays (`a`)**: These are flexible, general-purpose data structures in JavaScript that can hold elements of any type.
   - **Float32Array (`ta`)**: This is a typed array that represents an array of 32-bit floating-point numbers. Typed arrays offer improved performance for certain computations, particularly when dealing with large volumes of numerical data.

2. **Test Cases:**
   - **Array Reverse** (`a.reverse();`): This operation reverses the order of elements in the standard array.
   - **Typed Array Reverse** (`ta.reverse();`): This does the same for the `Float32Array`.
   - **Array I/O** (`for (let i = 0; i < 10000; ++i) a[i] = a[i] + 1;`): This operation modifies each element of the standard array by incrementing it by one.
   - **Typed Array I/O** (`for (let i = 0; i < 10000; ++i) ta[i] = ta[i] + 1;`): Similarly, this increments each element of the `Float32Array`.

### Pros and Cons of Each Approach

- **Standard Arrays (`Array`)**:
  - **Pros**:
    - Flexible, can contain different types.
    - Easier to use with built-in methods and functions that expect generic data types.
  - **Cons**:
    - Slower performance compared to typed arrays for numerical computations due to lack of optimization for numerical data manipulation.

- **Typed Arrays (`Float32Array`)**:
  - **Pros**:
    - Optimized memory layout for numerical data, resulting in faster access and manipulation.
    - Improved performance for mathematical calculations, particularly when working with large numeric datasets or in graphics computations.
  - **Cons**:
    - Less flexible compared to standard arrays (only holds 32-bit floats).
    - Limited set of methods compared to standard arrays; for instance, they don’t have methods like `reverse()` natively constructed into their prototype, so operations may require more code or specific handling.

### Benchmark Results Summary

- The results show that `Float32Array` significantly outperforms standard arrays in almost all operations:
  - **Typed Array Reverse**: 1,733,377.38 executions per second.
  - **Array Reverse**: 426,607.72 executions per second.
  - **Typed Array I/O**: 10,343.48 executions per second.
  - **Array I/O**: 6,701.26 executions per second.

This demonstrates that operations involving typed arrays can be much faster due to the optimized handling of data types.

### Other Considerations and Alternatives

1. **Memory Usage**: Typed arrays can be more memory-efficient because they store data in a contiguous block of memory, which can limit overhead and improve cache performance compared to standard JavaScript arrays that may have a variety of data types.

2. **Other Alternatives**:
   - **Other Typed Arrays**: Beyond `Float32Array`, JavaScript provides several other typed arrays like `Int32Array`, `Uint8Array`, and others, optimized for different types of numeric data and use cases.
   - **Libraries**: For more advanced array and matrix operations, libraries like **NumPy** (in Python) or JavaScript-based libraries like **math.js** or **TensorFlow.js** might be considered, offering additional robust functionality beyond basic array manipulation.

In conclusion, while both standard arrays and typed arrays have their uses, choosing the right one depends on the specific performance and flexibility requirements of the application. This benchmark provides valuable insight into how these data structures perform specifically on numerical tasks.

Related benchmarks:

array vs Float32Array (version: 1)

Comparing performance of: array reverse vs typedArray reverse vs array i/o vs typedArray i/o

Created: 3 months ago by: Guest

Jump to the latest result

array reverse

typedArray reverse

array i/o

typedArray i/o

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated 3 months ago):