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Introducing A New Test: Frame Time Variance

Gaming Shoot-Out: 18 CPUs And APUs Under $200, Benchmarked

As you may have noticed in a handful of our more recent graphics stories, we're working toward a new type of test standard that measures the impact of changes in frame rate latency. Historically, average frame rate, represented by frames per second (FPS), was our primary go-to for comparing the performance of graphics cards relative to each other. However, Scott Wasson of The Tech Report has put in a tremendous effort demonstrating where average frame rate comes up short in characterizing your experience gaming on a specific graphics subsystem.

By now, whether through Scott's work or our own, you're probably familiar with the phenomenon known as micro-stuttering, which is often associated with multi-card CrossFire or SLI configurations. This occurs when the amount of time that passes between frames appearing on-screen is inconsistent, resulting in what appears to be choppy gameplay, even in spite of high average frame rates. For example, two different PCs, both generating an average of 24 frames per second, may convey different experiences, one stuttery and one smooth, if the amount of time between each frame is less regular on one and more regular on the other.

In the chart below, System A sees a consistent amount of time between those 24 frames, while System B does not. Therefore, you may notice a stuttering effect on System B, even though both machines still average 24 FPS.

As you can see, System B has four frames that take significantly longer to render. System A is more consistent. The issue is easy to identify when we go beyond the average frame per second rate, and look at the frame times inside that second. But because most of our time-based benchmarks run for a while (at least a minute) in order to generate plenty of data, that would give us 3,600 data points at 60 FPS, at least. That's simply too much to squeeze onto an easily-digestible chart. Zooming in to a portion of the graph helps. However, how do you pick the most relevant slice to dissect? There's no easy answer.

In addition, raw frame times aren't the end-all in performance analysis because high frame rates have low corresponding frame times and low frame rates have high frame times. What we're trying to find is the variance, the amount of time that anomalous frames stray from the ideal norm.

Our preference is to take this data and put it into a simple, meaningful format that's easy to understand and analyze. To do this, we won't scrutinize the individual frame times, but we'll look closely at the difference (or variance) between the time it takes to display a frame compared to the ideal time it should take to display the frame based on the average of the frames surrounding it.

For example, in the chart above the average frame time for System B is just under 40 milliseconds. But four frames from System B suffer from abnormally long lag times from about 10 to 20 milliseconds, compared to the 40 millisecond average.

To describe this phenomenon, the frame time variance chart we're introducing today includes the average time variance across the entire benchmark, the 75th percentile time variance, and the 95th percentile time variance. Percentiles show us how bad things get, on average, over a larger sample. As a case in point, the 75th percentile result shows us the longest (worst) frame time variance that we see in the shortest (best) 75 percent of the samples, and so on with the 95th percentile.

Below, you'll find an example of how our frame time variance chart would describe the difference between System A and System B in the consecutive frame time chart presented above.

As you can see, this chart does not reflect raw frame rates. That's not its job. And that's fine with us because we're still going to continue capturing average frame rate for the foreseeable future. It may not tell the entire performance story, but it remains an important metric. We're simply adding the new data to help fill in the blanks.

Our hope is that, by comparing the results across different CPUs, we'll be able to identify issues where some models experience significantly higher latencies than we previously quantified. As you'll see in the results, each game has a different average frame time variance, too.

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