mnn ncnn zen 1 epyc AMD EPYC 7551 32-Core testing with a GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS) and ASPEED on Debian 11 via the Phoronix Test Suite. A: Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 8 x 4 GB DDR4-2133MT/s 9ASF51272PZ-2G6E1, Disk: Samsung SSD 960 EVO 500GB, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10 OS: Debian 11, Kernel: 5.10.0-9-amd64 (x86_64), Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 B: Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 8 x 4 GB DDR4-2133MT/s 9ASF51272PZ-2G6E1, Disk: Samsung SSD 960 EVO 500GB, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10 OS: Debian 11, Kernel: 5.10.0-9-amd64 (x86_64), Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 C: Processor: AMD EPYC 7551 32-Core @ 2.00GHz (32 Cores / 64 Threads), Motherboard: GIGABYTE MZ31-AR0-00 v01010101 (F10 BIOS), Chipset: AMD 17h, Memory: 8 x 4 GB DDR4-2133MT/s 9ASF51272PZ-2G6E1, Disk: Samsung SSD 960 EVO 500GB, Graphics: ASPEED, Network: Realtek RTL8111/8168/8411 + 2 x Broadcom NetXtreme II BCM57810 10 OS: Debian 11, Kernel: 5.10.0-9-amd64 (x86_64), Compiler: GCC 10.2.1 20210110, File-System: ext4, Screen Resolution: 1024x768 Mobile Neural Network 2.0 Model: mobilenetV3 ms < Lower Is Better A . 5.281 |=========================================================== B . 5.464 |============================================================= C . 6.070 |==================================================================== Mobile Neural Network 2.0 Model: squeezenetv1.1 ms < Lower Is Better A . 9.157 |================================================================= B . 9.009 |================================================================ C . 9.516 |==================================================================== Mobile Neural Network 2.0 Model: resnet-v2-50 ms < Lower Is Better A . 52.38 |============================================================== B . 54.15 |================================================================ C . 57.83 |==================================================================== Mobile Neural Network 2.0 Model: SqueezeNetV1.0 ms < Lower Is Better A . 14.09 |================================================================== B . 13.98 |================================================================== C . 14.49 |==================================================================== Mobile Neural Network 2.0 Model: MobileNetV2_224 ms < Lower Is Better A . 10.048 |=================================================================== B . 8.595 |========================================================= C . 9.898 |================================================================== Mobile Neural Network 2.0 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 8.341 |================================================================= B . 8.119 |=============================================================== C . 8.783 |==================================================================== Mobile Neural Network 2.0 Model: inception-v3 ms < Lower Is Better A . 59.59 |==================================================================== B . 57.85 |================================================================== C . 59.96 |==================================================================== NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better A . 45.00 |=================================================================== B . 41.52 |============================================================== C . 45.88 |==================================================================== NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better A . 24.04 |============================================================ B . 24.63 |============================================================== C . 27.05 |==================================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better A . 21.60 |============================================================== B . 23.51 |==================================================================== C . 22.35 |================================================================= NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better A . 29.16 |==================================================================== B . 26.61 |============================================================== C . 27.07 |=============================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better A . 22.37 |========================================================== B . 22.07 |========================================================= C . 26.29 |==================================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better A . 33.19 |================================================================= B . 34.65 |==================================================================== C . 31.80 |============================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better A . 12.28 |========================================================== B . 14.47 |==================================================================== C . 11.38 |===================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better A . 59.41 |==================================================================== B . 53.82 |============================================================== C . 53.24 |============================================================= NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better A . 94.47 |================================================================= B . 98.99 |==================================================================== C . 92.70 |================================================================ NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better A . 45.42 |==================================================================== B . 45.65 |==================================================================== C . 40.39 |============================================================ NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better A . 41.36 |================================================================== B . 40.94 |================================================================== C . 42.47 |==================================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better A . 71.34 |=============================================================== B . 77.61 |==================================================================== C . 65.41 |========================================================= NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better A . 63.28 |==================================================================== B . 55.48 |============================================================ C . 60.06 |================================================================= NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better A . 60.88 |==================================================================== B . 56.80 |=============================================================== C . 58.65 |================================================================== NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better A . 103.41 |=================================================================== B . 96.94 |=============================================================== C . 100.75 |================================================================= NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better A . 353.68 |=================================================================== B . 352.36 |=================================================================== C . 350.58 |================================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better A . 32.28 |=================================================================== B . 32.75 |==================================================================== C . 30.45 |===============================================================