The AMD Radeon VII Review: An Unexpected Shot At The High-End
by Nate Oh on February 7, 2019 9:00 AM ESTCompute Performance
Shifting gears, we'll look at the compute aspects of the Radeon VII. Though it is fundamentally similar to first generation Vega, there has been an emphasis on improved compute for Vega 20, and we may see it here.
Beginning with CompuBench 2.0, the latest iteration of Kishonti's GPU compute benchmark suite offers a wide array of different practical compute workloads, and we’ve decided to focus on level set segmentation, optical flow modeling, and N-Body physics simulations.
Moving on, we'll also look at single precision floating point performance with FAHBench, the official Folding @ Home benchmark. Folding @ Home is the popular Stanford-backed research and distributed computing initiative that has work distributed to millions of volunteer computers over the internet, each of which is responsible for a tiny slice of a protein folding simulation. FAHBench can test both single precision and double precision floating point performance, with single precision being the most useful metric for most consumer cards due to their low double precision performance.
Next is Geekbench 4's GPU compute suite. A multi-faceted test suite, Geekbench 4 runs seven different GPU sub-tests, ranging from face detection to FFTs, and then averages out their scores via their geometric mean. As a result Geekbench 4 isn't testing any one workload, but rather is an average of many different basic workloads.
Lastly, we have SiSoftware Sandra, with general compute benchmarks at different precisions.
Facebook
Twitter
RSS
289 Comments
View All Comments
drgigolo - Saturday, February 9, 2019 - link
Yeah, of course I am looking at it that way :-) But I also like tech, and find the progress lacking these last years. Longer development cycles and diminishing returns for a lot more dollars.remedo - Thursday, February 7, 2019 - link
Why isn't there any benchmarks for machine learning or deep learning?imaheadcase - Thursday, February 7, 2019 - link
Because the card is not for that...loleva02langley - Thursday, February 7, 2019 - link
It kind of is... it is a Radeon Instinct M150 with less memory.DigitalFreak - Thursday, February 7, 2019 - link
The buy a Radeon Instinct M150GreenReaper - Thursday, February 7, 2019 - link
Sure, if you want to pay two and a half times as much! Maybe get two and blow the rest on juice.eva02langley - Friday, February 8, 2019 - link
Well, you are buying a Vega 20 gimped... >:/So you do in reality... >:/
Ryan Smith - Thursday, February 7, 2019 - link
In short, ML results take longer to put together than these relatively short embargoes allow for. It's also not a primary market for this card, so other things such as gaming performance testing get priority.That said, we're curious about it as well. Now that we're past the embargo, check back in later this month. We have an RTX Titan review coming up, which will give us a great opportunity to poke at the ML performance of the Radeon VII as well.
eva02langley - Friday, February 8, 2019 - link
I will be curious to see that. Compute/ML/Rendering/Content Creation comparison. I was more looking for this in all honesty since we knew what to expect from the card from the beginning.HStewart - Thursday, February 7, 2019 - link
I would think this is expected, AMD trying there best to go against NVidia video and probably release because some of struggles that RTX is having with unit issues.But in stage in my life, personally I don't need a high end graphics card but I would go nVidia because of past good experience. But in any case how many owners actually need high end card. For majority 90+ % of people Integrated graphics are good enough for spreadsheets, internet and word processing