Benchmark: Encode vs Blob - correct titles

Script Preparation code:

iterations = 1000;
function randomStringGen(n) {
    let strings = [];
    for (let i = 0; i < n; i++) {
      let s = Math.random().toString(36).substring(2, 15) + Math.random().toString(36).substring(2, 15);
      strings[i] = s;
    }
    return strings;
}
var randomStrings = randomStringGen(iterations);
var encoder = new TextEncoder();

Tests:

TextEncoder
var j = 0; for (let i = 0; i < iterations; i++) { var str = randomStrings[i % iterations]; new TextEncoder().encode(str).length }
Blob
var j = 0; for (let i = 0; i < iterations; i++) { var str = randomStrings[i % iterations]; new Blob([str]).size }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
TextEncoder
Blob

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/130.0.0.0 Safari/537.36

Browser/OS: Chrome 130 on Windows

View result in a separate tab

Test name	Executions per second
TextEncoder	362.6 Ops/sec
Blob	7.3 Ops/sec

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):

LLMs can make mistakes. Check important info.

The benchmark provided compares two methods of encoding strings in JavaScript: using the `TextEncoder` API and the `Blob` constructor. These methods are evaluated on their performance, specifically how many executions can be performed per second for encoding a set of random strings.

### Benchmark Setup

1. **Preparation**: 
   - The benchmark generates 1000 random strings (each composed of random characters).
   - The `TextEncoder` instance is created, which will be used in one of the benchmarking tests.

2. **Individual Test Cases**:
   - **TextEncoder**: This test measures the performance of the `TextEncoder` API by encoding each random string and returning the length of the encoded result.
   - **Blob**: This test measures the performance of creating a `Blob` object for each random string and then retrieving the size of the `Blob`.

### Options Compared

1. **TextEncoder**:
   - **Pros**:
     - Designed specifically for text encoding, particularly for UTF-8.
     - Generally more straightforward and efficient for converting plain text into a byte representation.
     - Returns an array of bytes, making it useful for scenarios requiring byte manipulation or processing.

- **Cons**:
     - More limited to encoding strings; less flexible for combining different types of data.

2. **Blob**:
   - **Pros**:
     - Can represent several types of data, not just text, making it versatile for various data representations.
     - The `Blob` API allows you to construct file-like objects from raw data, useful for web applications dealing with files or binary data.

- **Cons**:
     - Slightly less efficient for simple text encoding compared to `TextEncoder`.
     - The creation of a `Blob` involves additional overhead as it creates a wrapper object around the data.

### Results Interpretation

The benchmark results show that the performance difference between the two methods is significant. The `TextEncoder` can execute around **2366 operations per second**, while the `Blob` test can only execute about **381 operations per second**. This indicates that, for encoding strings, `TextEncoder` is more efficient and should be preferred when text encoding is the primary concern.

### Other Considerations and Alternatives

- **Use Cases**: The choice between `TextEncoder` and `Blob` often depends on specific use cases in your application. For instance, if you are primarily dealing with text data and need high performance for frequent operations, `TextEncoder` is a better choice. On the other hand, if your application handles varied data types (text, images, binaries, etc.), `Blob` may suit your needs.

- **Other Alternatives**: 
  - **ArrayBuffer**: Another approach could involve using the low-level `ArrayBuffer` along with typed arrays, which may improve performance for certain scenarios but would require more complex handling, particularly for text.
  - **Custom Encoding Functions**: For specialized applications, developers might implement their encoding logic, though this typically comes with added complexity and potential performance overhead.

### Summary

In conclusion, the benchmark highlights the performance difference between two popular methods for encoding strings in JavaScript. For most applications dealing exclusively with text, the `TextEncoder` is the preferable option due to its simplicity and efficiency. Conversely, if handling a wider array of data types is necessary, using a `Blob` provides the versatility needed despite its lower performance in string encoding tasks.

Related benchmarks:

Encode vs Blob - correct titles (version: 0)

Comparing performance of: TextEncoder vs Blob

Created: one year ago by: Guest

Jump to the latest result

TextEncoder

Blob

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model gpt-4o-mini, generated one year ago):