3400g nn AMD Ryzen 5 3400G testing with a ASUS PRIME B450M-A (2006 BIOS) and ASUS AMD Picasso on Ubuntu 19.10 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800 2: Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800 3: Processor: AMD Ryzen 5 3400G @ 3.70GHz (4 Cores / 8 Threads), Motherboard: ASUS PRIME B450M-A (2006 BIOS), Chipset: AMD Raven/Raven2, Memory: 2 x 8192 MB DDR4-3000MT/s CRUCIAL, Disk: 29GB INTEL MEMPEK1W032GA + 4 x 6001GB Seagate ST6000VN0033-2EE, Graphics: ASUS AMD Picasso (1400/1500MHz), Audio: AMD Raven/Raven2/Fenghuang, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 19.10, Kernel: 5.3.0-46-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server, Vulkan: 1.1.107, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1280x800 Mobile Neural Network 1.2 Model: mobilenetV3 ms < Lower Is Better 1 . 2.472 |==================================================================== 2 . 2.473 |==================================================================== 3 . 2.483 |==================================================================== Mobile Neural Network 1.2 Model: squeezenetv1.1 ms < Lower Is Better 1 . 5.760 |================================================================= 2 . 5.859 |=================================================================== 3 . 5.988 |==================================================================== Mobile Neural Network 1.2 Model: resnet-v2-50 ms < Lower Is Better 1 . 54.35 |==================================================================== 2 . 54.38 |==================================================================== 3 . 54.74 |==================================================================== Mobile Neural Network 1.2 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 9.684 |==================================================================== 2 . 9.627 |==================================================================== 3 . 9.678 |==================================================================== Mobile Neural Network 1.2 Model: MobileNetV2_224 ms < Lower Is Better 1 . 5.998 |==================================================================== 2 . 5.833 |================================================================== 3 . 5.893 |=================================================================== Mobile Neural Network 1.2 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 6.879 |=================================================================== 2 . 6.862 |=================================================================== 3 . 6.952 |==================================================================== Mobile Neural Network 1.2 Model: inception-v3 ms < Lower Is Better 1 . 69.89 |=================================================================== 2 . 70.68 |==================================================================== 3 . 70.19 |==================================================================== NCNN 20210525 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 34.40 |================================================================== 2 . 35.20 |==================================================================== 3 . 32.74 |=============================================================== NCNN 20210525 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 8.60 |==================================================================== 2 . 8.26 |================================================================== 3 . 8.70 |===================================================================== NCNN 20210525 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 7.32 |=================================================================== 2 . 7.28 |=================================================================== 3 . 7.53 |===================================================================== NCNN 20210525 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 5.16 |===================================================================== 2 . 5.13 |==================================================================== 3 . 5.18 |===================================================================== NCNN 20210525 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 8.26 |===================================================================== 2 . 7.52 |=============================================================== 3 . 7.79 |================================================================= NCNN 20210525 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 12.54 |=================================================================== 2 . 12.55 |=================================================================== 3 . 12.73 |==================================================================== NCNN 20210525 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.88 |============================================================== 2 . 1.90 |=============================================================== 3 . 2.08 |===================================================================== NCNN 20210525 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 26.08 |==================================================================== 2 . 25.85 |=================================================================== 3 . 25.32 |================================================================== NCNN 20210525 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 100.21 |================================================================== 2 . 101.06 |=================================================================== 3 . 101.15 |=================================================================== NCNN 20210525 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 24.03 |================================================================== 2 . 24.73 |==================================================================== 3 . 24.09 |================================================================== NCNN 20210525 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 20.55 |==================================================================== 2 . 20.30 |=================================================================== 3 . 20.46 |==================================================================== NCNN 20210525 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 51.59 |=================================================================== 2 . 51.60 |=================================================================== 3 . 52.66 |==================================================================== NCNN 20210525 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 48.25 |==================================================================== 2 . 48.57 |==================================================================== 3 . 48.59 |==================================================================== NCNN 20210525 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 36.18 |==================================================================== 2 . 34.98 |================================================================== 3 . 35.22 |================================================================== NCNN 20210525 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 13.61 |==================================================================== 2 . 13.62 |==================================================================== 3 . 13.67 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 34.51 |=================================================================== 2 . 34.35 |=================================================================== 3 . 34.77 |==================================================================== NCNN 20210525 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 8.59 |===================================================================== 2 . 8.20 |================================================================== 3 . 8.54 |===================================================================== NCNN 20210525 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 7.33 |===================================================================== 2 . 7.25 |==================================================================== 3 . 7.34 |===================================================================== NCNN 20210525 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 5.15 |===================================================================== 2 . 5.15 |===================================================================== 3 . 5.17 |===================================================================== NCNN 20210525 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 7.59 |================================================================== 2 . 7.74 |=================================================================== 3 . 7.97 |===================================================================== NCNN 20210525 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 12.63 |=================================================================== 2 . 12.65 |=================================================================== 3 . 12.78 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 2.00 |==================================================================== 2 . 1.89 |================================================================= 3 . 2.02 |===================================================================== NCNN 20210525 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 25.28 |================================================================= 2 . 26.37 |==================================================================== 3 . 25.41 |================================================================== NCNN 20210525 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 100.29 |================================================================== 2 . 100.10 |================================================================== 3 . 101.53 |=================================================================== NCNN 20210525 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 24.18 |==================================================================== 2 . 24.01 |==================================================================== 3 . 24.07 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 20.78 |==================================================================== 2 . 20.83 |==================================================================== 3 . 20.90 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 51.60 |==================================================================== 2 . 51.54 |==================================================================== 3 . 51.88 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 48.11 |=================================================================== 2 . 47.80 |=================================================================== 3 . 48.84 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 34.77 |=================================================================== 2 . 34.94 |=================================================================== 3 . 35.39 |==================================================================== NCNN 20210525 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better 1 . 14.59 |==================================================================== 2 . 14.24 |================================================================== 3 . 13.76 |================================================================ TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better 1 . 3717.76 |================================================================== 2 . 3733.17 |================================================================== 3 . 3733.52 |================================================================== TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 299.83 |=================================================================== 2 . 300.30 |=================================================================== 3 . 301.71 |=================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better 1 . 71.80 |=================================================================== 2 . 71.58 |=================================================================== 3 . 72.51 |==================================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 260.06 |=================================================================== 2 . 259.66 |=================================================================== 3 . 260.01 |===================================================================