auf11 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 24.04 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 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.3~git2407230600.74b4c9~oibaf~n (git-74b4c91 2024-07-23 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, 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 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.3~git2407230600.74b4c9~oibaf~n (git-74b4c91 2024-07-23 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, 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 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.3~git2407230600.74b4c9~oibaf~n (git-74b4c91 2024-07-23 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, 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 24.04, Kernel: 6.10.0-phx (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11 + Wayland, OpenGL: 4.6 Mesa 24.3~git2407230600.74b4c9~oibaf~n (git-74b4c91 2024-07-23 noble-oibaf-ppa) (LLVM 17.0.6 DRM 3.57), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2880x1800 LeelaChessZero 0.31.1 Backend: BLAS Nodes Per Second > Higher Is Better a . 55 |========================================================== b . 61 |================================================================= c . 67 |======================================================================= d . 52 |======================================================= LeelaChessZero 0.31.1 Backend: Eigen Nodes Per Second > Higher Is Better a . 43 |======================================================================= b . 39 |================================================================ c . 41 |==================================================================== d . 43 |======================================================================= Mobile Neural Network 2.9.b11b7037d Model: nasnet ms < Lower Is Better a . 14.46 |============================================================ b . 16.30 |=================================================================== c . 15.49 |================================================================ d . 16.45 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenetV3 ms < Lower Is Better a . 1.936 |==================================================================== b . 1.945 |==================================================================== c . 1.946 |==================================================================== d . 1.917 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: squeezenetv1.1 ms < Lower Is Better a . 2.990 |=================================================================== b . 2.919 |================================================================== c . 3.025 |==================================================================== d . 2.936 |================================================================== Mobile Neural Network 2.9.b11b7037d Model: resnet-v2-50 ms < Lower Is Better a . 16.02 |=================================================================== b . 15.65 |================================================================== c . 16.18 |==================================================================== d . 16.02 |=================================================================== Mobile Neural Network 2.9.b11b7037d Model: SqueezeNetV1.0 ms < Lower Is Better a . 4.620 |=================================================================== b . 4.575 |=================================================================== c . 4.563 |=================================================================== d . 4.662 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: MobileNetV2_224 ms < Lower Is Better a . 3.579 |================================================================= b . 3.692 |=================================================================== c . 3.773 |==================================================================== d . 3.746 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: mobilenet-v1-1.0 ms < Lower Is Better a . 3.606 |=================================================================== b . 3.666 |==================================================================== c . 3.672 |==================================================================== d . 3.651 |==================================================================== Mobile Neural Network 2.9.b11b7037d Model: inception-v3 ms < Lower Is Better a . 30.43 |================================================================ b . 32.07 |==================================================================== c . 32.23 |==================================================================== d . 31.04 |================================================================= simdjson 3.10 Throughput Test: Kostya GB/s > Higher Is Better a . 4.49 |===================================================== b . 4.50 |===================================================== c . 5.90 |===================================================================== d . 4.45 |==================================================== simdjson 3.10 Throughput Test: TopTweet GB/s > Higher Is Better a . 7.08 |====================================================== b . 9.00 |===================================================================== c . 8.99 |===================================================================== d . 6.93 |===================================================== simdjson 3.10 Throughput Test: LargeRandom GB/s > Higher Is Better a . 1.24 |==================================================================== b . 1.24 |==================================================================== c . 1.25 |===================================================================== d . 1.25 |===================================================================== simdjson 3.10 Throughput Test: PartialTweets GB/s > Higher Is Better a . 6.83 |===================================================================== b . 6.39 |================================================================= c . 6.36 |================================================================ d . 6.76 |==================================================================== simdjson 3.10 Throughput Test: DistinctUserID GB/s > Higher Is Better a . 7.76 |===================================================================== b . 7.06 |=============================================================== c . 7.17 |================================================================ d . 7.18 |================================================================ XNNPACK 2cd86b Model: FP32MobileNetV2 us < Lower Is Better a . 1961 |============================================================ b . 2238 |==================================================================== c . 2124 |================================================================= d . 2270 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Large us < Lower Is Better a . 2255 |============================================================ b . 2530 |==================================================================== c . 2388 |================================================================ d . 2585 |===================================================================== XNNPACK 2cd86b Model: FP32MobileNetV3Small us < Lower Is Better a . 995 |========================================================== b . 1145 |=================================================================== c . 1169 |==================================================================== d . 1180 |===================================================================== XNNPACK 2cd86b Model: FP16MobileNetV2 us < Lower Is Better a . 2178 |============================================================== b . 2383 |==================================================================== c . 2423 |===================================================================== d . 2377 |==================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Large us < Lower Is Better a . 2535 |==================================================================== b . 2485 |=================================================================== c . 2554 |===================================================================== d . 2481 |=================================================================== XNNPACK 2cd86b Model: FP16MobileNetV3Small us < Lower Is Better a . 1252 |===================================================================== b . 1201 |================================================================== c . 1184 |================================================================= d . 1205 |================================================================== XNNPACK 2cd86b Model: QU8MobileNetV2 us < Lower Is Better a . 1745 |===================================================================== b . 1651 |================================================================= c . 1626 |================================================================ d . 1674 |================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Large us < Lower Is Better a . 2001 |===================================================================== b . 1819 |=============================================================== c . 1802 |============================================================== d . 1907 |================================================================== XNNPACK 2cd86b Model: QU8MobileNetV3Small us < Lower Is Better a . 1055 |===================================================================== b . 1017 |================================================================== c . 1017 |================================================================== d . 1059 |===================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 27.64 |=================================================================== b . 28.24 |==================================================================== c . 28.17 |==================================================================== d . 28.25 |==================================================================== Y-Cruncher 0.8.5 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 12.49 |=================================================================== b . 12.74 |==================================================================== c . 12.69 |==================================================================== d . 12.52 |===================================================================