mtl-aa Intel Core Ultra 7 155H testing with a MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS) and Intel Arc MTL 8GB on Ubuntu 24.10 via the Phoronix Test Suite. Intel Core Ultra 7 155H: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 8GB, Audio: Intel Meteor Lake-P HD Audio, Network: Intel Meteor Lake 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, OpenCL: OpenCL 3.0, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 3840x1200 a: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 8GB, Audio: Intel Meteor Lake-P HD Audio, Network: Intel Meteor Lake 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, OpenCL: OpenCL 3.0, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 3840x1200 b: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 8GB, Audio: Intel Meteor Lake-P HD Audio, Network: Intel Meteor Lake 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, OpenCL: OpenCL 3.0, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 3840x1200 c: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 8GB, Audio: Intel Meteor Lake-P HD Audio, Network: Intel Meteor Lake 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, OpenCL: OpenCL 3.0, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 3840x1200 d: Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Swift SFG14-72T Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 8 x 2GB LPDDR5-6400MT/s Micron MT62F1G32D2DS-026, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 8GB, Audio: Intel Meteor Lake-P HD Audio, Network: Intel Meteor Lake 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, OpenCL: OpenCL 3.0, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 3840x1200 WarpX 24.10 Input: Uniform Plasma Seconds < Lower Is Better Intel Core Ultra 7 155H . 38.99 |========================== a ....................... 38.54 |========================= b ....................... 70.03 |============================================== c ....................... 40.18 |========================== d ....................... 38.48 |========================= Epoch 4.19.4 Epoch3D Deck: Cone Seconds < Lower Is Better Intel Core Ultra 7 155H . 770.28 |=========================================== a ....................... 767.63 |=========================================== b ....................... 760.56 |========================================== c ....................... 807.12 |============================================= d ....................... 769.23 |=========================================== WarpX 24.10 Input: Plasma Acceleration Seconds < Lower Is Better Intel Core Ultra 7 155H . 86.62 |============================================== a ....................... 83.27 |============================================ b ....................... 81.57 |=========================================== c ....................... 85.11 |============================================= d ....................... 83.46 |============================================ LiteRT 2024-10-15 Model: DeepLab V3 Microseconds < Lower Is Better a . 30615.2 |================================================= b . 28058.2 |============================================= c . 30259.5 |================================================ d . 41399.3 |================================================================== LiteRT 2024-10-15 Model: SqueezeNet Microseconds < Lower Is Better a . 5555.94 |================================================================ b . 5744.28 |================================================================== c . 5484.13 |=============================================================== d . 5501.81 |=============================================================== LiteRT 2024-10-15 Model: Inception V4 Microseconds < Lower Is Better a . 66292.6 |================================================================ b . 65925.2 |=============================================================== c . 68539.1 |================================================================== d . 65842.3 |=============================================================== LiteRT 2024-10-15 Model: NASNet Mobile Microseconds < Lower Is Better a . 422930 |======================================================== b . 485455 |================================================================= c . 463998 |============================================================== d . 503493 |=================================================================== LiteRT 2024-10-15 Model: Mobilenet Float Microseconds < Lower Is Better a . 3762.02 |============================================================= b . 4038.08 |================================================================== c . 3895.21 |================================================================ d . 3851.27 |=============================================================== LiteRT 2024-10-15 Model: Mobilenet Quant Microseconds < Lower Is Better a . 58072.8 |================================================================= b . 58511.1 |================================================================= c . 59421.9 |================================================================== d . 53702.0 |============================================================ LiteRT 2024-10-15 Model: Inception ResNet V2 Microseconds < Lower Is Better a . 75318.3 |================================================================ b . 74660.5 |=============================================================== c . 77901.3 |================================================================== d . 76822.8 |================================================================= LiteRT 2024-10-15 Model: Quantized COCO SSD MobileNet v1 Microseconds < Lower Is Better a . 30137.4 |============================================================= b . 32432.5 |================================================================== c . 27891.3 |========================================================= d . 29195.3 |=========================================================== XNNPACK b7b048 Model: FP32MobileNetV1 us < Lower Is Better a . 3583 |========================================================= b . 4314 |===================================================================== c . 3639 |========================================================== d . 4300 |===================================================================== XNNPACK b7b048 Model: FP32MobileNetV2 us < Lower Is Better a . 3478 |================================================================ b . 3742 |===================================================================== c . 3668 |==================================================================== d . 3536 |================================================================= XNNPACK b7b048 Model: FP32MobileNetV3Large us < Lower Is Better a . 4082 |==================================================================== b . 4141 |===================================================================== c . 3864 |================================================================ d . 3785 |=============================================================== XNNPACK b7b048 Model: FP32MobileNetV3Small us < Lower Is Better a . 1887 |===================================================================== b . 1849 |==================================================================== c . 1814 |================================================================== d . 1828 |=================================================================== XNNPACK b7b048 Model: FP16MobileNetV1 us < Lower Is Better a . 4683 |================================================================ b . 5088 |===================================================================== c . 4267 |========================================================== d . 5069 |===================================================================== XNNPACK b7b048 Model: FP16MobileNetV2 us < Lower Is Better a . 3808 |================================================================ b . 3664 |============================================================= c . 4132 |===================================================================== d . 3546 |=========================================================== XNNPACK b7b048 Model: FP16MobileNetV3Large us < Lower Is Better a . 4677 |===================================================================== b . 4665 |===================================================================== c . 4579 |==================================================================== d . 4245 |=============================================================== XNNPACK b7b048 Model: FP16MobileNetV3Small us < Lower Is Better a . 1959 |============================================================ b . 2256 |===================================================================== c . 1928 |=========================================================== d . 2088 |================================================================ XNNPACK b7b048 Model: QS8MobileNetV2 us < Lower Is Better a . 2061 |=================================================================== b . 2130 |===================================================================== c . 2056 |=================================================================== d . 2120 |===================================================================== oneDNN 3.6 Harness: IP Shapes 1D - Engine: CPU ms < Lower Is Better Intel Core Ultra 7 155H . 4.96186 |============================================ a ....................... 4.95197 |============================================ b ....................... 4.95336 |============================================ c ....................... 4.77842 |========================================== d ....................... 4.98258 |============================================ oneDNN 3.6 Harness: IP Shapes 3D - Engine: CPU ms < Lower Is Better Intel Core Ultra 7 155H . 8.21801 |============================================ a ....................... 7.90144 |========================================== b ....................... 8.21689 |============================================ c ....................... 8.19538 |============================================ d ....................... 8.17763 |============================================ oneDNN 3.6 Harness: Convolution Batch Shapes Auto - Engine: CPU ms < Lower Is Better Intel Core Ultra 7 155H . 8.83257 |============================================ a ....................... 8.86522 |============================================ b ....................... 8.56746 |=========================================== c ....................... 8.43726 |========================================== d ....................... 8.80802 |============================================ oneDNN 3.6 Harness: Deconvolution Batch shapes_1d - Engine: CPU ms < Lower Is Better Intel Core Ultra 7 155H . 9.05209 |========================================== a ....................... 9.53141 |============================================ b ....................... 9.51378 |============================================ c ....................... 8.95445 |========================================= d ....................... 9.29038 |=========================================== oneDNN 3.6 Harness: Deconvolution Batch shapes_3d - Engine: CPU ms < Lower Is Better Intel Core Ultra 7 155H . 9.98168 |=========================================== a ....................... 10.01010 |=========================================== b ....................... 10.03070 |=========================================== c ....................... 9.96783 |=========================================== d ....................... 9.92250 |=========================================== oneDNN 3.6 Harness: Recurrent Neural Network Training - Engine: CPU ms < Lower Is Better Intel Core Ultra 7 155H . 6117.29 |========================================== a ....................... 6233.69 |=========================================== b ....................... 6430.73 |============================================ c ....................... 6452.33 |============================================ d ....................... 6314.72 |=========================================== oneDNN 3.6 Harness: Recurrent Neural Network Inference - Engine: CPU ms < Lower Is Better Intel Core Ultra 7 155H . 3299.60 |============================================ a ....................... 3293.00 |============================================ b ....................... 3304.45 |============================================ c ....................... 3316.53 |============================================ d ....................... 3301.71 |============================================ CP2K Molecular Dynamics 2024.3 Input: H20-64 Seconds < Lower Is Better Intel Core Ultra 7 155H . 140.78 |============================================= a ....................... 137.70 |============================================ b ....................... 138.29 |============================================ c ....................... 135.19 |=========================================== d ....................... 136.80 |============================================ CP2K Molecular Dynamics 2024.3 Input: H20-256 Seconds < Lower Is Better Intel Core Ultra 7 155H . 1683.10 |=========================================== a ....................... 1650.66 |========================================== d ....................... 1713.62 |============================================ CP2K Molecular Dynamics 2024.3 Input: Fayalite-FIST Seconds < Lower Is Better Intel Core Ultra 7 155H . 261.83 |====================================== a ....................... 267.72 |======================================= b ....................... 307.18 |============================================= c ....................... 271.72 |======================================== d ....................... 291.62 |=========================================== Apache CouchDB 3.4.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better Intel Core Ultra 7 155H . 107.33 |=================================== b ....................... 138.68 |============================================= c ....................... 109.25 |=================================== d ....................... 108.53 |=================================== Apache CouchDB 3.4.1 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better Intel Core Ultra 7 155H . 349.18 |====================================== b ....................... 351.64 |====================================== c ....................... 417.98 |============================================= d ....................... 347.82 |===================================== Apache CouchDB 3.4.1 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better Intel Core Ultra 7 155H . 375.99 |========================================== b ....................... 195.02 |====================== c ....................... 406.74 |============================================= d ....................... 244.96 |===========================