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GIGABYTE 990FXA-UD7 (AMD 990FX) Motherboard Review - CPU Benchmarks Continued

GIGABYTE fuses the new 990FX series chipset from AMD to the much loved UD7 series. Let's check it out.

| Socket AM3/AM3+ in Motherboards | Posted: Jun 9, 2011 12:37 pm
TweakTown Rating: 93%Manufacturer: GIGABYTE

HyperPi 0.99

 

Version and / or Patch Used: 0.99
Developer Homepage: http://www.virgilioborges.com.br
Product Homepage: http://www.virgilioborges.com.br
Download It Here

 

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.

 

TweakTown image content/4/1/4140_32_gigabyte_990fxa_ud7_amd_990fx_motherboard_review.png

 

At stock Hyper PI performance doesn't hold any surprises. You can see we get a really strong boost in performance when it comes to overclocking, with a much improved time on our 32M test.

 


AutoGK

 

Version and / or Patch Used: 2.55
Developer Homepage: http://www.autogk.me.uk/
Product Homepage: http://www.autogk.me.uk/
Download It Here

 

AutoGK stands for Auto Gordian Knot; it is a suite of transcoding tools that are compiled into an easy to install and use utility. It allows you to transcode non-protected DVDs and other media to Xvid or Divx format. For our testing purposes we use a non-DRM restricted movie that is roughly 2 hours in length. This is transcoded to a single Xvid AVI at 100% quality.

 

TweakTown image content/4/1/4140_33_gigabyte_990fxa_ud7_amd_990fx_motherboard_review.png

 

Looking at AutoGK, we can see that reference performance performs where we would expect it to. Cranking up the clock speeds, though, you can see we're able to shave almost 10 minutes off our encoding time.

 

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