Benchmark: Bitwise NOT VS Number

Script Preparation code:

var arr = [ "93", "53", "45", "75", "6", "65", "60", "30", "59", "5", "41", "17", "36", "23", "45", "71", "22", "15", "77", "75", "7", "74", "69", "36", "96", "2", "37", "25", "8", "79", "80", "85", "35", "66", "14", "3", "51", "32", "87", "41", "78", "44", "79", "93", "1", "81", "44", "9", "51", "94", "28", "84", "87", "63", "56", "75", "59", "57", "83", "34", "21", "19", "15", "91", "27", "70", "53", "32", "32", "6", "60", "10", "46", "25", "80", "32", "67", "92", "12", "34", "83", "9", "59", "99", "87", "39", "68", "62", "81", "43", "34", "88", "78", "86", "11", "42", "50", "57", "66", "1", "83", "58", "82", "3", "34", "46", "76", "18", "8", "1", "33", "97", "31", "88", "6", "67", "33", "85", "3", "84", "54", "44", "93", "46", "98", "31", "75", "27", "63", "1", "8", "80", "49", "54", "83", "19", "9", "11", "41", "4", "65", "78", "8", "37", "61", "22", "90", "89", "1", "79", "35", "37", "4", "60", "49", "45", "8", "11", "3", "83", "54", "1", "72", "28", "41", "51", "66", "77", "31", "3", "47", "17", "58", "96", "37", "32", "26", "62", "10", "39", "35", "29", "85", "99", "55", "76", "15", "2", "10", "89", "70", "30", "1", "100", "38", "46", "84", "95", "33", "38", "78", "42", "60", "27", "70", "92", "41", "3", "21", "38", "7", "17", "11", "56", "17", "27", "56", "12", "73", "91", "63", "18", "87", "32", "88", "66", "70", "28", "12", "48", "93", "99", "82", "82", "35", "10", "10", "42", "99", "26", "63", "88", "37", "55", "95", "12", "72", "80", "82", "75", "55", "71", "87", "52", "57", "87", "88", "39", "77", "47", "26", "49", "41", "24", "42", "74", "58", "14", "87", "89", "40", "78", "69", "53", "95", "36", "95", "48", "66", "38", "100", "72", "40", "90", "21", "27", "20", "2", "95", "40", "30", "84", "37", "80", "10", "58", "47", "50", "54", "57", "62", "98", "22", "53", "19", "7", "78", "62", "84", "40", "95", "49", "99", "72", "90", "47", "26", "16", "72", "69", "88", "6", "21", "60", "91", "41", "43", "98", "95", "22", "31", "21", "15", "82", "31", "95", "38", "11", "53", "38", "76", "60", "20", "58", "14", "53", "6", "9", "19", "92", "64", "50", "64", "19", "82", "17", "13", "86", "45", "21", "79", "89", "86", "43", "13", "27", "78", "2", "73", "16", "48", "51", "64", "22", "78", "52", "16", "84", "23", "60", "60", "42", "51", "99", "99", "93", "97", "64", "53", "35", "39", "11", "25", "19", "88", "18", "86", "55", "91", "20", "9", "95", "11", "74", "34", "10", "64", "4", "3", "53", "33", "82", "71", "66", "52", "45", "17", "18", "28", "26", "12", "47", "2", "65", "38", "52", "49", "34", "68", "84", "5", "79", "82", "51", "73", "82", "39", "10", "38", "84", "32", "15", "17", "76", "26", "51", "30", "46", "95", "96", "7", "5", "18", "14", "12", "23", "99", "74", "3", "52", "68", "7", "35", "82", "2", "35", "44", "49", "31", "88", "77", "32", "75", "23", "25", "37", "28", "59", "90", "60", "22", "87", "56", "89", "97", "78", "23", "14", "40", "79", "81", "55", "94", "82", "100", "34", "50", "46", "91", "47" ]

Tests:

tilde bit
for(var i = 0; i < arr.length; i++){ ~~arr[i] }
Number
for(var i = 0; i < arr.length; i++){ Math.floor(Number(arr[i])) }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
tilde bit
Number

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Measuring the performance of different approaches to achieve the same result is an essential aspect of optimizing code and ensuring that it runs efficiently.

**Overview**

The provided benchmark data compares two approaches for converting strings to integers:

1. **~~arr[i]** (TILDE BIT): This approach uses the bitwise NOT operator (~) to invert each byte of the string, then converts the resulting integer to a number using `Number()`. This is a commonly used method in languages that don't support Unicode or have issues with non-ASCII characters.
2. **Math.floor(Number(arr[i]))**: This approach directly converts each character in the string to an ASCII code using `Number()` and then applies `Math.floor()` to get the integer value.

**Performance Comparison**

The latest benchmark results show that:

* The TILDE BIT approach outperforms the Number approach, with approximately 2.6x more executions per second on a desktop device running Chrome 117.
* Both approaches have relatively low execution times, indicating that they are efficient for this specific use case.

**Why does the TILDE BIT approach perform better?**

There are several reasons why the TILDE BIT approach might be faster:

1. **Bitwise operations**: The bitwise NOT operator (~) is typically a very fast operation, as it only requires a single CPU instruction.
2. **ASCII code conversion**: Converting each character to an ASCII code using `Number()` is also relatively fast, as it involves a simple arithmetic operation.
3. **Avoiding Unicode issues**: By inverting each byte of the string and then converting it to a number, the TILDE BIT approach avoids potential issues with non-ASCII characters that might occur when directly applying `Math.floor(Number())`.

**Recommendations**

Based on the benchmark results, if performance is critical for this specific use case:

1. **Use the TILDE BIT approach**: As it outperforms the Number approach by approximately 2.6x.
2. **Consider using alternatives**: If you encounter issues with non-ASCII characters or want to explore other optimization options.

However, if simplicity and readability are more important than performance:

1. **Stick with the Number approach**: It's a straightforward and well-documented method that works reliably for most use cases.

Keep in mind that benchmarking results can vary depending on specific hardware, software configurations, and environments.

Related benchmarks:

Bitwise NOT VS Number (version: 4)

Comparing performance of: tilde bit vs Number

Created: 2 years ago by: Registered User

Jump to the latest result

tilde bit

Number

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):