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NVIDIA GeForce vs. AMD Radeon Vulkan Neural Network Performance With NCNN

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  • NVIDIA GeForce vs. AMD Radeon Vulkan Neural Network Performance With NCNN

    Phoronix: NVIDIA GeForce vs. AMD Radeon Vulkan Neural Network Performance With NCNN

    With having added Tencent's NCNN tests to the Phoronix Test Suite with Vulkan acceleration, here is a look at the real-world impact by using RealSR-NCNN for scaling up with RealSR. Various NVIDIA GeForce and AMD Radeon graphics cards were tested for this initial NCNN / RealSR-NCNN Vulkan comparison.

    http://www.phoronix.com/vr.php?view=29531

  • #2
    Great to see Vega doing exceptionally well in this workload. Too bad that most of the tech press doesn't care about these scientific / professional workloads that its bad reputation will stick to the end of its product life.

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    • #3
      Originally posted by ms178 View Post
      Great to see Vega doing exceptionally well in this workload. Too bad that most of the tech press doesn't care about these scientific / professional workloads that its bad reputation will stick to the end of its product life.
      In that case these aren't tech press anymore as they are mostly focusing on games.

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      • #4
        Looks like on the AMD side that the best compute bang for the power budget is the Radeon RX 5700. I wonder going forward with AMD's bifurcation of graphics cards (RDNA) and compute cards (CDNA) that we will be forced to choose between the two for different use cases and work loads as opposed to buying a more general all purpose card as we can now with a Vega based card ??

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        • #5
          Nice to see that Radeon VII is still the king of compute!
          I hope that some of the RDNA 2 GPUs will come also with HBM2 or HBM2E memory to at least match its performance with the same power consumption.

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          • #6
            Why is 1070 faster than 1080, and 1070 has lower power conumption here? All technical specifications of 1080 are better, and 1070 was released just 2 weeks later.

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            • #7
              Now I'm really wondering how well ACO would do, considering radav's default is doing so well.
              But considering piet-gpu was nearly twice was fast with the alternative shader backend, anything might be possible.

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              • #8
                Originally posted by oleid View Post
                Now I'm really wondering how well ACO would do, considering radav's default is doing so well.
                But considering piet-gpu was nearly twice was fast with the alternative shader backend, anything might be possible.
                ACO is the default.
                Michael Larabel
                http://www.michaellarabel.com/

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                • #9
                  Originally posted by Michael View Post

                  ACO is the default.
                  Oh, I misread. It's late, good night

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                  • #10
                    Originally posted by Danny3 View Post
                    Nice to see that Radeon VII is still the king of compute!
                    I hope that some of the RDNA 2 GPUs will come also with HBM2 or HBM2E memory to at least match its performance with the same power consumption.
                    I would imagine that since HBM is so hot and expensive AMD will reserve HBM for their CDNA compute cards and keep scads of GDDR6 on their RDNA cards with the possible exception of some one off RDNA 2 Geforce killer. Plus GDDR6x is right around the corner.
                    Last edited by Jumbotron; 09-25-2020, 04:59 PM.

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