dddd Intel Core i7-1280P testing with a MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 8GB on Ubuntu 24.10 via the Phoronix Test Suite. a: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 8GB, Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi 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, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1080 b: Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 8GB, Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi 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, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1080 LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 12481.3 |================================================================== b . 8785.7 |============================================== LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 4297.68 |================================================================= b . 4341.81 |================================================================== LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 60434.0 |================================================================== b . 59982.9 |================================================================== LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 24466.6 |================================================================== b . 20572.6 |======================================================= LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 3267.47 |================================================================== b . 3216.26 |================================================================= LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 5772.50 |================================================================== b . 5428.36 |============================================================== LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 66739.5 |================================================================== b . 60923.1 |============================================================ LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 14677.1 |================================================================== b . 11862.2 |===================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 3766 |===================================================================== b . 3776 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 2675 |===================================================================== b . 2656 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 2942 |==================================================================== b . 2971 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 1325 |===================================================================== b . 1309 |==================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 5338 |================================================================ b . 5730 |===================================================================== WarpX 24.10 Input: Plasma Acceleration Seconds < Lower Is Better a . 97.32 |=================================== b . 187.71 |=================================================================== WarpX 24.10 Input: Uniform Plasma Seconds < Lower Is Better a . 60.69 |==================================================================== b . 58.37 |================================================================= Epoch 4.19.4 Epoch3D Deck: Cone Seconds < Lower Is Better a . 1073.62 |================================================================== b . 941.82 |========================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 3676 |===================================================================== b . 3670 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 3939 |===================================================================== b . 3676 |================================================================ XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 1519 |===================================================================== b . 1528 |===================================================================== XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 1843 |=================================================================== b . 1888 |===================================================================== NAMD 3.0 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 0.32227 |========================================================== b . 0.36493 |================================================================== NAMD 3.0 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.08333 |================================================= b . 0.11113 |================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better a . 4.69920 |================================================================= b . 4.75677 |================================================================== oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better a . 8.97964 |================================================================== b . 8.99418 |================================================================== oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better a . 8.31985 |================================================================== b . 8.32147 |================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better a . 7.56991 |================================================================= b . 7.71558 |================================================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better a . 8.83578 |================================================================== b . 8.78226 |================================================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better a . 6909.46 |================================================================== b . 6480.37 |============================================================== oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better a . 3669.59 |================================================================== b . 3644.40 |================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-64 Seconds < Lower Is Better a . 162.63 |============================================================== b . 175.65 |=================================================================== CP2K Molecular Dynamics 2024.3 Input: H20-256 Seconds < Lower Is Better a . 2776.53 |================================================================== b . 2228.38 |===================================================== CP2K Molecular Dynamics 2024.3 Input: Fayalite-FIST Seconds < Lower Is Better a . 336.76 |=================================================================== b . 326.88 |=================================================================