
SUPERPI - 32M
7
of Total Submissions
03h, 20sec, 375ms
of Total Score
Thursday, 01 January 1970 07:00:00 | Updated at 1 week ago
About SuperPi - 32M
SuperPi is a classic benchmark application used to measure the single-threaded performance of a processor by calculating π (pi) values to millions or even tens of millions of decimal digits. The benchmark uses the Gauss-Legendre algorithm for pi computation, which relies heavily on the processor's ability to handle floating-point operations and system memory efficiency. SuperPi is available in various versions, with SuperPi 1M (1 million digits) and 32M (32 million digits) being popular standards in the overclocking community for testing CPU stability and performance. As it utilizes only one CPU core, the results from SuperPi are very sensitive to clock speed, memory latency, and operating system optimization. SuperPi is also often used as a benchmark in overclocking competitions to compare system performance with timing precision down to milliseconds.
Benchmark SuperPi - 32M Chart Ranking
The following graph displays the hardware performance ranking based on benchmark results using SuperPi - 32M. The data is organized from highest to lowest score for easy visual comparison between devices. You can hover over each bar to view the score details and associated hardware name.
Benchmark SuperPi - 32M Table Ranking
The following table presents hardware rankings based on benchmark results using SuperPi - 32M. The table format provides detailed views such as device name, score, number of submissions, as well as links to test results. It's perfect for those who want to see detailed data and easily search or filter.
No. | Hardware | Submissions from SuperPi - 32M |
---|---|---|
1 | Intel Core i5 1335U | 06min, 38sec, 548ms |
2 | Intel Core i5 1135G7 | 07min, 08sec, 285ms |
3 | Intel Core i5 6300U | 10min, 50sec, 377ms |
4 | Intel Core i3 2330M | 16min, 54sec, 925ms |
5 | AMD A6-3400M | 41min, 09sec, 264ms |
6 | AMD E1-1200 | 45min, 28sec, 176ms |
7 | AMD C-60 | 52min, 10sec, 800ms |