mnn ryzen AMD Ryzen AI 9 HX 370 testing with a ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS) and AMD Radeon 512MB on Ubuntu 24.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen AI 9 HX 370 @ 4.37GHz (12 Cores / 24 Threads), Motherboard: ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS), Chipset: AMD Device 1507, Memory: 4 x 8GB LPDDR5-7500MT/s Samsung K3KL9L90CM-MGCT, Disk: 1024GB MTFDKBA1T0QFM-1BD1AABGB, Graphics: AMD Radeon 512MB, Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK Device 7925 OS: Ubuntu 24.10, Kernel: 6.11.0-rc6-phx (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 2880x1800 b: Processor: AMD Ryzen AI 9 HX 370 @ 4.37GHz (12 Cores / 24 Threads), Motherboard: ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS), Chipset: AMD Device 1507, Memory: 4 x 8GB LPDDR5-7500MT/s Samsung K3KL9L90CM-MGCT, Disk: 1024GB MTFDKBA1T0QFM-1BD1AABGB, Graphics: AMD Radeon 512MB, Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK Device 7925 OS: Ubuntu 24.10, Kernel: 6.11.0-rc6-phx (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 2880x1800 c: Processor: AMD Ryzen AI 9 HX 370 @ 4.37GHz (12 Cores / 24 Threads), Motherboard: ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS), Chipset: AMD Device 1507, Memory: 4 x 8GB LPDDR5-7500MT/s Samsung K3KL9L90CM-MGCT, Disk: 1024GB MTFDKBA1T0QFM-1BD1AABGB, Graphics: AMD Radeon 512MB, Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK Device 7925 OS: Ubuntu 24.10, Kernel: 6.11.0-rc6-phx (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 2880x1800 d: Processor: AMD Ryzen AI 9 HX 370 @ 4.37GHz (12 Cores / 24 Threads), Motherboard: ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS), Chipset: AMD Device 1507, Memory: 4 x 8GB LPDDR5-7500MT/s Samsung K3KL9L90CM-MGCT, Disk: 1024GB MTFDKBA1T0QFM-1BD1AABGB, Graphics: AMD Radeon 512MB, Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK Device 7925 OS: Ubuntu 24.10, Kernel: 6.11.0-rc6-phx (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.2.3-1ubuntu1 (LLVM 19.1.0 DRM 3.58), Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 2880x1800 Mobile Neural Network 3.0 Model: nasnet ms < Lower Is Better a . 20.07 |============================================================== b . 21.19 |================================================================== c . 21.87 |==================================================================== d . 21.74 |==================================================================== Mobile Neural Network 3.0 Model: mobilenetV3 ms < Lower Is Better a . 2.439 |=================================================================== b . 2.482 |==================================================================== c . 2.456 |=================================================================== d . 2.456 |=================================================================== Mobile Neural Network 3.0 Model: squeezenetv1.1 ms < Lower Is Better a . 3.873 |================================================================== b . 4.003 |==================================================================== c . 3.893 |================================================================== d . 3.994 |==================================================================== Mobile Neural Network 3.0 Model: resnet-v2-50 ms < Lower Is Better a . 19.29 |=============================================================== b . 20.25 |================================================================== c . 20.33 |================================================================== d . 20.79 |==================================================================== Mobile Neural Network 3.0 Model: SqueezeNetV1.0 ms < Lower Is Better a . 6.341 |================================================================ b . 6.520 |================================================================== c . 6.694 |=================================================================== d . 6.765 |==================================================================== Mobile Neural Network 3.0 Model: MobileNetV2_224 ms < Lower Is Better a . 4.987 |================================================================== b . 5.175 |==================================================================== c . 4.913 |================================================================= d . 4.917 |================================================================= Mobile Neural Network 3.0 Model: mobilenet-v1-1.0 ms < Lower Is Better a . 4.798 |============================================================== b . 5.154 |=================================================================== c . 5.138 |================================================================== d . 5.267 |==================================================================== Mobile Neural Network 3.0 Model: inception-v3 ms < Lower Is Better a . 40.93 |================================================================ b . 42.51 |=================================================================== c . 41.92 |================================================================== d . 43.39 |====================================================================