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Script Preparation code:
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';
Tests:
Array.split
var base64 = image.split(",").pop();
Substring
var base64 = image.substring(image.indexOf(',') + 1);
Substr
var base64 = image.substr(image.indexOf(',') + 1);
Slice
var base64 = image.slice(image.indexOf(',') + 1);
Rendered benchmark preparation results:
Suite status: <idle, ready to run>

Previous results
Test case name	Result
Array.split
Substring
Substr
Slice
Fastest: N/A

Slowest: N/A

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Latest run results:
Run details: (Test run date: one year ago)
User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36
Browser/OS: Chrome 103 on Mac OS X 10.15.7
View result in a separate tab
Test name	Executions per second
Array.split	10424550.0 Ops/sec
Substring	12703480.0 Ops/sec
Substr	12672810.0 Ops/sec
Slice	12704020.0 Ops/sec
Remove MIME type from encoded image URL (version: 0)

Comparing performance of: Array.split vs Substring vs Substr vs Slice

Created: one year ago by: Guest

Jump to the latest result

Array.split

Substring

Substr

Slice

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A
