ncnn mnn 5900HX

AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Arch rolling via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2208131-NE-NCNNMNN5973
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August 13 2022
  3 Hours, 19 Minutes
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August 13 2022
  3 Hours, 16 Minutes
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August 13 2022
  3 Hours, 15 Minutes
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  3 Hours, 17 Minutes

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ncnn mnn 5900HX AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Arch rolling via the Phoronix Test Suite. A: Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI OS: Arch rolling, Kernel: 5.18.16-arch1-1 (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.1.4 (LLVM 14.0.6 DRM 3.46), Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB, Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI OS: Arch rolling, Kernel: 5.18.16-arch1-1 (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.1.4 (LLVM 14.0.6 DRM 3.46), Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI OS: Arch rolling, Kernel: 5.18.16-arch1-1 (x86_64), Desktop: KDE Plasma 5.25.4, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.1.4 (LLVM 14.0.6 DRM 3.46), Vulkan: 1.3.211, Compiler: GCC 12.1.1 20220730, File-System: ext4, Screen Resolution: 1920x1080 NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 2.57 |================================================================== B . 2.60 |=================================================================== C . 2.69 |===================================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 165.65 |================================================================== B . 167.99 |=================================================================== C . 165.92 |================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 7.12 |===================================================================== B . 7.10 |===================================================================== C . 7.08 |===================================================================== NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 20.87 |==================================================================== B . 20.94 |==================================================================== C . 20.94 |==================================================================== NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 27.42 |==================================================================== B . 27.46 |==================================================================== C . 27.59 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 22.95 |==================================================================== B . 23.12 |==================================================================== C . 22.80 |=================================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 10.67 |=================================================================== B . 10.82 |==================================================================== C . 10.65 |=================================================================== NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 12.45 |=================================================================== B . 12.67 |==================================================================== C . 12.54 |=================================================================== NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 73.11 |==================================================================== B . 73.05 |==================================================================== C . 72.93 |==================================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 13.96 |==================================================================== B . 14.01 |==================================================================== C . 14.00 |==================================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 0.77 |===================================================================== B . 0.77 |===================================================================== C . 0.76 |==================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 5.78 |===================================================================== B . 5.78 |===================================================================== C . 5.75 |===================================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 2.81 |===================================================================== B . 2.73 |=================================================================== C . 2.72 |=================================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 2.25 |==================================================================== B . 2.21 |=================================================================== C . 2.28 |===================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 3.07 |===================================================================== B . 3.01 |==================================================================== C . 3.02 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 4.17 |===================================================================== B . 4.19 |===================================================================== C . 4.14 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 14.98 |=================================================================== B . 15.24 |==================================================================== C . 15.30 |==================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 28.00 |================================================================== B . 28.45 |=================================================================== C . 28.79 |==================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 2.369 |==================================================================== B . 2.351 |=================================================================== C . 2.334 |=================================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 2.490 |==================================================================== B . 2.443 |=================================================================== C . 2.471 |=================================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 4.463 |=================================================================== B . 4.523 |==================================================================== C . 4.506 |==================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 21.26 |==================================================================== B . 21.36 |==================================================================== C . 21.23 |==================================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 2.382 |=================================================================== B . 2.410 |==================================================================== C . 2.405 |==================================================================== Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 1.136 |==================================================================== B . 1.137 |==================================================================== C . 1.141 |==================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better A . 5.06 |===================================================================== B . 5.06 |===================================================================== C . 5.08 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better A . 1.86 |=================================================================== B . 1.91 |===================================================================== C . 1.91 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better A . 147.83 |=================================================================== B . 146.00 |================================================================== C . 145.82 |================================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better A . 3.00 |==================================================================== B . 3.03 |==================================================================== C . 3.06 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better A . 4.05 |==================================================================== B . 4.08 |===================================================================== C . 3.98 |=================================================================== NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better A . 6.67 |===================================================================== B . 6.65 |===================================================================== C . 6.68 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better A . 1.66 |===================================================================== B . 1.65 |===================================================================== C . 1.66 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better A . 2.33 |===================================================================== B . 2.30 |==================================================================== C . 2.32 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better A . 7.18 |===================================================================== B . 7.21 |===================================================================== C . 7.22 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better A . 3.79 |================================================================== B . 3.94 |===================================================================== C . 3.96 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better A . 1.07 |=================================================================== B . 1.11 |===================================================================== C . 1.11 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better A . 5.02 |==================================================================== B . 5.06 |===================================================================== C . 5.09 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better A . 1.89 |=================================================================== B . 1.93 |===================================================================== C . 1.94 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better A . 1.77 |=================================================================== B . 1.82 |===================================================================== C . 1.83 |===================================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 2.30 |==================================================================== B . 2.34 |===================================================================== C . 2.35 |===================================================================== NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 1.88 |==================================================================== B . 1.92 |===================================================================== C . 1.92 |===================================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better A . 4.48 |===================================================================== B . 4.48 |===================================================================== C . 4.49 |=====================================================================