ncnn 0905
2 x Hygon C86 7280 32-core testing with a Suma R6240H0 62DB32 v24002826 (CXYH051031 BIOS) and ASPEED on Ubuntu 24.04 via the Phoronix Test Suite.


2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0: 

	Processor: 2 x Hygon C86 7280 32-core (64 Cores / 128 Threads), Motherboard: Suma R6240H0 62DB32 v24002826 (CXYH051031 BIOS), Chipset: Chengdu Haiguang IC Design Root Complex, Memory: 1008GB, Disk: 256GB MR9361-8i + 1920GB MR9361-8i + 12001GB MR9361-8i, Graphics: ASPEED, Network: 2 x Intel I350 + 4 x Mellanox MT27710

	OS: Ubuntu 24.04, Kernel: 6.8.0-41-generic (x86_64), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1024x768


NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 36.71 |===================


NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 211.22 |==================


NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 120.00 |==================


NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 59.87 |===================


NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 67.59 |===================


NCNN 20230517
Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 50.73 |===================


NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 71.59 |===================


NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 28.43 |===================


NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 35.08 |===================


NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 98.31 |===================


NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 58.27 |===================


NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 15.03 |===================


NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 36.72 |===================


NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 23.85 |===================


NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 32.17 |===================


NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 25.71 |===================


NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 26.67 |===================


NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
2 x Hygon C86 7280 32-core - ASPEED - Suma R6240H0 . 50.73 |===================