Version and / or Patch Used: 0.99
Developer Homepage: www.virgilioborges.com.br
Product Homepage: www.virgilioborges.com.br
HyperPi is a front end for SuperPi that allows for multiple concurrent instances of SuperPi to be run on each core recognized by the system. It is very dependent on CPU to memory to HDD speed. The faster these components, the faster it is able to figure out the number Pi to the selected length.
For our testing we use the 32M run. This means that each of the four physical and four logical cores for the i7 and the four physical cores of the i5 is trying to calculate the number Pi out to 32 million decimal places. Each "run" is a comparative to ensure accuracy and any stability or performance issues in the loop mentioned above will cause errors in calculation.
Version and / or Patch Used: 1.00.1035BETA
Developer Homepage: http://www.aida64.com
Product Homepage: http://www.AIDA64.com
Replacing Everest in our labs is AIDA64. This new testing suite is from the core development team from Lavalys and continues that tradition. The guys have thrown in better support for multithreaded CPUs as well as full 64 bit support. We use this to test memory and HDDs for now, but may find ourselves opening this up to other areas of the motherboard.
Out of the box you can see that our 3960X manages to put out some strong numbers coming out ahead of the Z77 options, just as you'd hope. As you'd expect, though, when it comes to the overclocking side of things, we see some really nice gains across the board.
We can see under HyperPi a decent amount of time is shaved off the 32M process.
Last updated: Apr 7, 2020 at 12:31 pm CDT
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- Page 1 [Introduction and Package]
- Page 2 [GIGABYTE X79S-UP5-WiFi Motherboard]
- Page 3 [BIOS]
- Page 4 [Benchmarks - Test System Setup and Overclocking]
- Page 5 [CPU Benchmarks]
- Page 6 [System Benchmarks]
- Page 7 [USB 2.0 and 3.0 Benchmarks]
- Page 8 [SSD Benchmarks]
- Page 9 [Memory Benchmarks]
- Page 10 [Gaming Benchmarks]
- Page 11 [Temperature and Power]
- Page 12 [Pricing, Availability and Final Thoughts]