mnn3 AMD Ryzen 7 9800X3D 8-Core testing with a ASRock X870E Taichi (3.09.AS03 BIOS) and AMD Radeon RX 7900 GRE 16GB on Ubuntu 24.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 9800X3D 8-Core @ 5.27GHz (8 Cores / 16 Threads), Motherboard: ASRock X870E Taichi (3.09.AS03 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s F5-6000J2836G16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Realtek Device 8126 + MEDIATEK Device 0717 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen 7 9800X3D 8-Core @ 5.27GHz (8 Cores / 16 Threads), Motherboard: ASRock X870E Taichi (3.09.AS03 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s F5-6000J2836G16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Realtek Device 8126 + MEDIATEK Device 0717 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: AMD Ryzen 7 9800X3D 8-Core @ 5.27GHz (8 Cores / 16 Threads), Motherboard: ASRock X870E Taichi (3.09.AS03 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s F5-6000J2836G16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Realtek Device 8126 + MEDIATEK Device 0717 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: AMD Ryzen 7 9800X3D 8-Core @ 5.27GHz (8 Cores / 16 Threads), Motherboard: ASRock X870E Taichi (3.09.AS03 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s F5-6000J2836G16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Realtek Device 8126 + MEDIATEK Device 0717 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 e: Processor: AMD Ryzen 7 9800X3D 8-Core @ 5.27GHz (8 Cores / 16 Threads), Motherboard: ASRock X870E Taichi (3.09.AS03 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DDR5-6000MT/s F5-6000J2836G16G, Disk: 2000GB Corsair MP700 PRO, Graphics: AMD Radeon RX 7900 GRE 16GB, Audio: AMD Navi 31 HDMI/DP, Monitor: DELL U2723QE, Network: Realtek Device 8126 + MEDIATEK Device 0717 OS: Ubuntu 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2~git2406040600.8112d4~oibaf~n (git-8112d44 2024-06-04 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 Mobile Neural Network 3.0 Model: nasnet ms < Lower Is Better a . 4.344 |=================================================================== b . 4.392 |==================================================================== c . 4.308 |=================================================================== d . 4.381 |==================================================================== e . 4.387 |==================================================================== Mobile Neural Network 3.0 Model: mobilenetV3 ms < Lower Is Better a . 0.578 |==================================================================== b . 0.573 |=================================================================== c . 0.567 |=================================================================== d . 0.578 |==================================================================== e . 0.574 |==================================================================== Mobile Neural Network 3.0 Model: squeezenetv1.1 ms < Lower Is Better a . 0.860 |==================================================================== b . 0.863 |==================================================================== c . 0.859 |==================================================================== d . 0.856 |=================================================================== e . 0.858 |==================================================================== Mobile Neural Network 3.0 Model: resnet-v2-50 ms < Lower Is Better a . 4.715 |==================================================================== b . 4.680 |=================================================================== c . 4.693 |==================================================================== d . 4.690 |==================================================================== e . 4.706 |==================================================================== Mobile Neural Network 3.0 Model: SqueezeNetV1.0 ms < Lower Is Better a . 1.345 |=================================================================== b . 1.351 |==================================================================== c . 1.335 |=================================================================== d . 1.361 |==================================================================== e . 1.347 |=================================================================== Mobile Neural Network 3.0 Model: MobileNetV2_224 ms < Lower Is Better a . 1.114 |=================================================================== b . 1.128 |==================================================================== c . 1.093 |================================================================== d . 1.129 |==================================================================== e . 1.097 |================================================================== Mobile Neural Network 3.0 Model: mobilenet-v1-1.0 ms < Lower Is Better a . 1.016 |==================================================================== b . 1.009 |==================================================================== c . 1.010 |==================================================================== d . 1.014 |==================================================================== e . 1.008 |=================================================================== Mobile Neural Network 3.0 Model: inception-v3 ms < Lower Is Better a . 9.317 |==================================================================== b . 9.323 |==================================================================== c . 9.274 |=================================================================== d . 9.375 |==================================================================== e . 9.309 |====================================================================