How Games Work

Because of the complexity and sheer amount of data we have gathered using our Frame Rating performance methodology, we are breaking it up into several articles that each feature different GPU comparisons.  Here is the schedule:

• 3/27: Frame Rating Dissected: Full Details on Capture-based Graphics Performance Testing
• 3/27: Radeon HD 7970 GHz Edition vs GeForce GTX 680 (Single and Dual GPU)
• 3/30: AMD Radeon HD 7990 vs GeForce GTX 690 vs GeForce GTX Titan
• 4/2: Radeon HD 7950 vs GeForce GTX 660 Ti (Single and Dual GPU)
• 4/5: Radeon HD 7870 GHz Edition vs GeForce GTX 660 (Single and Dual GPU)
  • PLUS Radeon HD 7850 vs Radeon HD 7790 vs GeForce GTX 650 Ti vs GeForce GTX 650 Ti BOOST
• ​4/16: Frame Rating: Visual Effects of Vsync on Gaming Animation

Introduction

The process of testing games and graphics has been evolving even longer than I have been a part of the industry: 14+ years at this point. That transformation in benchmarking has been accelerating for the last 12 months. Typical benchmarks test some hardware against some software and look at the average frame rate which can be achieved. While access to frame time has been around for nearly the full life of FRAPS, it took an article from Scott Wasson at the Tech Report to really get the ball moving and investigate how each frame contributes to the actual user experience. I immediately began research into testing actual performance perceived by the user, including the "microstutter" reported by many in PC gaming, and pondered how we might be able to test for this criteria even more accurately.

The result of that research is being fully unveiled today in what we are calling Frame Rating – a completely new way of measuring and validating gaming performance.

The release of this story for me is like the final stop on a journey that has lasted nearly a complete calendar year.  I began to release bits and pieces of this methodology starting on January 3^rd with a video and short article that described our capture hardware and the benefits that directly capturing the output from a graphics card would bring to GPU evaluation.  After returning from CES later in January, I posted another short video and article that showcased some of the captured video and stepping through a recorded file frame by frame to show readers how capture could help us detect and measure stutter and frame time variance. 

Finally, during the launch of the NVIDIA GeForce GTX Titan graphics card, I released the first results from our Frame Rating system and discussed how certain card combinations, in this case CrossFire against SLI, could drastically differ in perceived frame rates and performance while giving very similar average frame rates.  This article got a lot more attention than the previous entries and that was expected – this method doesn’t attempt to dismiss other testing options but it is going to be pretty disruptive.  I think the remainder of this article will prove that. 

Today we are finally giving you all the details on Frame Rating; how we do it, what we learned and how you should interpret the results that we are providing.  I warn you up front though that this is not an easy discussion and while I am doing my best to explain things completely, there are going to be more questions going forward and I want to see them all!  There is still much to do regarding graphics performance testing, even after Frame Rating becomes more common. We feel that the continued dialogue with readers, game developers and hardware designers is necessary to get it right.

Below is our full video that features the Frame Rating process, some example results and some discussion on what it all means going forward.  I encourage everyone to watch it but you will definitely need the written portion here to fully understand this transition in testing methods.  Subscribe to your YouTube channel if you haven't already!

Continue reading our analysis of the new Frame Rating performance testing methodology!!