ncnn 0905
Unknown testing with a LOONGSON Dabieshan Loongson-TC542F0 (Loongson-UDK2018-V4.0.11-stable202311_mem BIOS) and ASPEED on Anolis OS 23.1 via the Phoronix Test Suite.


Unknown - ASPEED - LOONGSON Dabieshan: 

	Processor: Unknown (64 Cores), Motherboard: LOONGSON Dabieshan Loongson-TC542F0 (Loongson-UDK2018-V4.0.11-stable202311_mem BIOS), Chipset: Loongson LLC Hyper Transport Bridge, Memory: 16 x 64 GB DDR4-2400MT/s, Disk: 256GB KINGSTON OM8SEP4256Q-A0 + 1920GB DSS200-B 1.92TB, Graphics: ASPEED, Audio: Loongson LLC Device 7a27, Network: 2 x Realtek RTL8111/8168/8411 + 4 x Intel 82599ES 10-Gigabit SFI/SFP+

	OS: Anolis OS 23.1, Kernel: 6.6.25-2.1.an23.loongarch64 (loongarch64) 20240524, Display Server: X Server 1.20.14, Compiler: GCC 12.3.0 20230508, File-System: ext4, Screen Resolution: 1280x1024


NCNN 20230517
Target: CPU - Model: mobilenet
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 42.12 |================================


NCNN 20230517
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 18.26 |================================


NCNN 20230517
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 36.53 |================================


NCNN 20230517
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 27.46 |================================


NCNN 20230517
Target: CPU - Model: mnasnet
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 18.02 |================================


NCNN 20230517
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 28.64 |================================


NCNN 20230517
Target: CPU - Model: blazeface
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 6.41 |=================================


NCNN 20230517
Target: CPU - Model: googlenet
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 58.95 |================================


NCNN 20230517
Target: CPU - Model: vgg16
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 124.25 |===============================


NCNN 20230517
Target: CPU - Model: resnet18
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 55.40 |================================


NCNN 20230517
Target: CPU - Model: alexnet
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 35.07 |================================


NCNN 20230517
Target: CPU - Model: resnet50
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 95.00 |================================


NCNN 20230517
Target: CPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 42.12 |================================


NCNN 20230517
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 76.65 |================================


NCNN 20230517
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 72.82 |================================


NCNN 20230517
Target: CPU - Model: regnety_400m
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 121.03 |===============================


NCNN 20230517
Target: CPU - Model: vision_transformer
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 579.26 |===============================


NCNN 20230517
Target: CPU - Model: FastestDet
ms < Lower Is Better
Unknown - ASPEED - LOONGSON Dabieshan . 33.59 |================================