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GIGABYTE G1.Assassin (Intel X58 Express) Gaming Motherboard - Synthetic Tests - Part I

By: Sean Kalinich | Socket LGA 1366 in Motherboards | Posted: Apr 6, 2011 4:17 pm
TweakTown Rating: 91%Manufacturer: GIGABYTE

With any system you will want to see a combination of synthetic testing and real-world. Synthetics give you a static, easily repeatable testing method that can be compared across multiple platforms. For our synthetic tests we use Finalwire's AIDA64, Sisoft Sandra, Futuremark's 3DMark Vantage and PCMark Vantage, Cinebench as well as HyperPi. Each of these covers a different aspect of performance or a different angle of a certain type of performance.


Memory Bandwidth


Memory is a big part of current system performance. In most systems slow or flakey memory performance will impact almost every type of application you run. To test memory we use a combination of Sisoft Sandra, AIDA64 and HyperPi 0.99.


Sisoft Sandra


Version and / or Patch Used: 2011
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The G1.Assassin lost some ground in memory performance. This could be due to overhead from the Creative audio card or the KillerNIC. We will have to dig a little deeper to be sure, but we know for certain that we should be seeing memory performance that is a little higher than this.




Version and / or Patch Used: 1.00.1035BETA
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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.



Stock Memory Performance



Overclocked Memory Performance


Again we see something dragging the memory performance down a little. This will have an impact on our workstation oriented tests and could impact gaming as well.


HyperPi 0.99


Version and / or Patch Used: 0.99
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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.




Here we see the direct impact of the slower memory performance. Our HyperPi times are a little slow here compared to other X58 boards we have tested.


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