AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS) and AMD Radeon RX 6700/6700 XT / 6800M on Ubuntu 22.04 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-PTS-NCNNMNN216
ncnn mnn 2022
AMD Ryzen 9 5950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS) and AMD Radeon RX 6700/6700 XT / 6800M on Ubuntu 22.04 via the Phoronix Test Suite.
A:
Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6700/6700 XT / 6800M (2880/1124MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
B:
Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6700/6700 XT / 6800M (2880/1124MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
C:
Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6700/6700 XT / 6800M (2880/1124MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
D:
Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6700/6700 XT / 6800M (2880/1124MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
E:
Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (4006 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6700/6700 XT / 6800M (2880/1124MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 22.04, Kernel: 5.15.0-46-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.42), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
NCNN 20220729
Target: CPU - Model: googlenet
ms < Lower Is Better
A . 12.19 |====================================================================
B . 11.69 |=================================================================
C . 11.38 |===============================================================
D . 11.56 |================================================================
E . 11.53 |================================================================
Mobile Neural Network 2.0
Model: SqueezeNetV1.0
ms < Lower Is Better
A . 5.234 |==================================================================
B . 5.144 |=================================================================
C . 5.350 |====================================================================
D . 5.302 |===================================================================
E . 5.382 |====================================================================
NCNN 20220729
Target: CPU - Model: blazeface
ms < Lower Is Better
A . 1.82 |===================================================================
B . 1.80 |==================================================================
C . 1.82 |===================================================================
D . 1.88 |=====================================================================
E . 1.83 |===================================================================
Mobile Neural Network 2.0
Model: resnet-v2-50
ms < Lower Is Better
A . 21.96 |====================================================================
B . 21.56 |===================================================================
C . 21.10 |=================================================================
D . 21.70 |===================================================================
E . 21.54 |===================================================================
NCNN 20220729
Target: Vulkan GPU - Model: blazeface
ms < Lower Is Better
A . 1.64 |====================================================================
B . 1.60 |===================================================================
C . 1.65 |=====================================================================
D . 1.64 |====================================================================
E . 1.66 |=====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: mnasnet
ms < Lower Is Better
A . 1.97 |===================================================================
B . 2.04 |=====================================================================
C . 2.01 |====================================================================
D . 2.04 |=====================================================================
E . 2.04 |=====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: resnet18
ms < Lower Is Better
A . 2.63 |=====================================================================
B . 2.54 |===================================================================
C . 2.60 |====================================================================
D . 2.61 |====================================================================
E . 2.62 |=====================================================================
NCNN 20220729
Target: CPU - Model: resnet50
ms < Lower Is Better
A . 21.47 |===================================================================
B . 20.98 |==================================================================
C . 21.70 |====================================================================
D . 21.48 |===================================================================
E . 21.39 |===================================================================
Mobile Neural Network 2.0
Model: mobilenet-v1-1.0
ms < Lower Is Better
A . 2.625 |====================================================================
B . 2.542 |==================================================================
C . 2.556 |==================================================================
D . 2.592 |===================================================================
E . 2.581 |===================================================================
NCNN 20220729
Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
A . 2.35 |===================================================================
B . 2.36 |====================================================================
C . 2.34 |===================================================================
D . 2.36 |====================================================================
E . 2.41 |=====================================================================
Mobile Neural Network 2.0
Model: mobilenetV3
ms < Lower Is Better
A . 1.903 |====================================================================
B . 1.860 |==================================================================
C . 1.865 |==================================================================
D . 1.913 |====================================================================
E . 1.902 |====================================================================
Mobile Neural Network 2.0
Model: squeezenetv1.1
ms < Lower Is Better
A . 3.209 |==================================================================
B . 3.227 |===================================================================
C . 3.278 |====================================================================
D . 3.298 |====================================================================
E . 3.296 |====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: vgg16
ms < Lower Is Better
A . 6.77 |===================================================================
B . 6.93 |=====================================================================
C . 6.75 |===================================================================
D . 6.75 |===================================================================
E . 6.80 |====================================================================
NCNN 20220729
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
A . 18.32 |===================================================================
B . 18.53 |====================================================================
C . 18.59 |====================================================================
D . 18.39 |===================================================================
E . 18.17 |==================================================================
NCNN 20220729
Target: CPU - Model: mnasnet
ms < Lower Is Better
A . 3.89 |====================================================================
B . 3.97 |=====================================================================
C . 3.89 |====================================================================
D . 3.90 |====================================================================
E . 3.90 |====================================================================
NCNN 20220729
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
A . 5.91 |====================================================================
B . 5.97 |====================================================================
C . 5.90 |====================================================================
D . 6.02 |=====================================================================
E . 5.90 |====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: googlenet
ms < Lower Is Better
A . 3.67 |====================================================================
B . 3.71 |=====================================================================
C . 3.66 |====================================================================
D . 3.71 |=====================================================================
E . 3.72 |=====================================================================
NCNN 20220729
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
A . 3.78 |====================================================================
B . 3.82 |=====================================================================
C . 3.77 |====================================================================
D . 3.77 |====================================================================
E . 3.76 |====================================================================
Mobile Neural Network 2.0
Model: MobileNetV2_224
ms < Lower Is Better
A . 3.449 |====================================================================
B . 3.422 |===================================================================
C . 3.468 |====================================================================
D . 3.456 |====================================================================
E . 3.472 |====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: efficientnet-b0
ms < Lower Is Better
A . 4.93 |=====================================================================
B . 4.89 |====================================================================
C . 4.90 |=====================================================================
D . 4.86 |====================================================================
E . 4.86 |====================================================================
NCNN 20220729
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
A . 21.51 |====================================================================
B . 21.33 |===================================================================
C . 21.57 |====================================================================
D . 21.30 |===================================================================
E . 21.43 |====================================================================
NCNN 20220729
Target: CPU - Model: vgg16
ms < Lower Is Better
A . 47.58 |===================================================================
B . 47.52 |===================================================================
C . 47.58 |===================================================================
D . 47.34 |===================================================================
E . 47.94 |====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: resnet50
ms < Lower Is Better
A . 4.99 |=====================================================================
B . 4.94 |====================================================================
C . 5.00 |=====================================================================
D . 5.00 |=====================================================================
E . 4.97 |=====================================================================
NCNN 20220729
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
A . 4.29 |====================================================================
B . 4.33 |=====================================================================
C . 4.28 |====================================================================
D . 4.31 |=====================================================================
E . 4.30 |=====================================================================
NCNN 20220729
Target: CPU - Model: resnet18
ms < Lower Is Better
A . 12.17 |====================================================================
B . 12.21 |====================================================================
C . 12.08 |===================================================================
D . 12.16 |====================================================================
E . 12.14 |====================================================================
Mobile Neural Network 2.0
Model: inception-v3
ms < Lower Is Better
A . 26.07 |====================================================================
B . 25.81 |===================================================================
C . 25.91 |====================================================================
D . 25.92 |====================================================================
E . 25.99 |====================================================================
NCNN 20220729
Target: CPU - Model: vision_transformer
ms < Lower Is Better
A . 123.55 |===================================================================
B . 122.89 |==================================================================
C . 122.63 |==================================================================
D . 123.87 |===================================================================
E . 123.44 |===================================================================
NCNN 20220729
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
A . 4.30 |=====================================================================
B . 4.30 |=====================================================================
C . 4.30 |=====================================================================
D . 4.26 |====================================================================
E . 4.28 |=====================================================================
NCNN 20220729
Target: CPU - Model: regnety_400m
ms < Lower Is Better
A . 12.83 |====================================================================
B . 12.81 |====================================================================
C . 12.90 |====================================================================
D . 12.85 |====================================================================
E . 12.79 |===================================================================
NCNN 20220729
Target: Vulkan GPU - Model: vision_transformer
ms < Lower Is Better
A . 220.75 |===================================================================
B . 219.90 |===================================================================
C . 219.57 |===================================================================
D . 220.31 |===================================================================
E . 220.85 |===================================================================
NCNN 20220729
Target: Vulkan GPU - Model: FastestDet
ms < Lower Is Better
A . 2.50 |=====================================================================
B . 2.28 |===============================================================
C . 2.33 |================================================================
D . 2.38 |==================================================================
E . 2.37 |=================================================================
NCNN 20220729
Target: Vulkan GPU - Model: regnety_400m
ms < Lower Is Better
A . 3.11 |=====================================================================
B . 3.03 |===================================================================
C . 3.09 |=====================================================================
D . 3.08 |====================================================================
E . 3.06 |====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: squeezenet_ssd
ms < Lower Is Better
A . 5.23 |=================================================================
B . 5.14 |================================================================
C . 5.47 |====================================================================
D . 5.50 |====================================================================
E . 5.55 |=====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: yolov4-tiny
ms < Lower Is Better
A . 14.58 |===================================================================
B . 14.48 |===================================================================
C . 14.56 |===================================================================
D . 14.59 |===================================================================
E . 14.77 |====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: alexnet
ms < Lower Is Better
A . 2.08 |================================================================
B . 2.24 |=====================================================================
C . 2.09 |================================================================
D . 2.08 |================================================================
E . 2.12 |=================================================================
NCNN 20220729
Target: Vulkan GPU - Model: shufflenet-v2
ms < Lower Is Better
A . 2.04 |==================================================================
B . 2.12 |=====================================================================
C . 2.09 |====================================================================
D . 2.09 |====================================================================
E . 2.09 |====================================================================
NCNN 20220729
Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
A . 1.92 |==================================================================
B . 1.95 |===================================================================
C . 1.99 |=====================================================================
D . 1.98 |====================================================================
E . 2.00 |=====================================================================
NCNN 20220729
Target: Vulkan GPU - Model: mobilenet
ms < Lower Is Better
A . 9.45 |================================================================
B . 9.34 |===============================================================
C . 9.84 |===================================================================
D . 9.90 |===================================================================
E . 10.05 |====================================================================
NCNN 20220729
Target: CPU - Model: FastestDet
ms < Lower Is Better
A . 4.98 |=====================================================================
B . 4.90 |====================================================================
C . 4.93 |====================================================================
D . 4.86 |===================================================================
E . 4.84 |===================================================================
NCNN 20220729
Target: CPU - Model: alexnet
ms < Lower Is Better
A . 7.79 |==========================================================
B . 7.73 |=========================================================
C . 7.67 |=========================================================
D . 7.72 |=========================================================
E . 9.30 |=====================================================================
NCNN 20220729
Target: CPU - Model: mobilenet
ms < Lower Is Better
A . 11.46 |=================================================================
B . 11.92 |====================================================================
C . 11.71 |===================================================================
D . 11.84 |====================================================================
E . 11.64 |==================================================================