icelake vino Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 22.04 via the Phoronix Test Suite. A: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi OS: Ubuntu 22.04, Kernel: 5.18.8-051808-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 B: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi OS: Ubuntu 22.04, Kernel: 5.18.8-051808-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 C: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP PCH CNVi WiFi OS: Ubuntu 22.04, Kernel: 5.18.8-051808-generic (x86_64), Desktop: GNOME Shell 42.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.0.1, Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 7-Zip Compression 22.01 Test: Compression Rating MIPS > Higher Is Better A . 24394 |====================================================== B . 30680 |==================================================================== C . 30714 |==================================================================== 7-Zip Compression 22.01 Test: Decompression Rating MIPS > Higher Is Better A . 15884 |================================================== B . 21600 |==================================================================== C . 21194 |=================================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better A . 19.09 |==================================================================== B . 14.06 |================================================== C . 18.33 |================================================================= Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better A . 1.891 |==================================================================== B . 1.746 |=============================================================== C . 1.752 |=============================================================== Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better A . 5.268 |==================================================================== B . 3.697 |================================================ C . 4.086 |===================================================== Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better A . 30.32 |==================================================================== B . 22.55 |=================================================== C . 27.15 |============================================================= Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better A . 9.240 |==================================================================== B . 5.785 |=========================================== C . 6.011 |============================================ Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better A . 5.779 |==================================================================== B . 4.333 |=================================================== C . 5.815 |==================================================================== Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better A . 6.584 |==================================================================== B . 4.905 |=================================================== C . 6.457 |=================================================================== Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better A . 60.56 |=================================================================== B . 44.78 |================================================== C . 61.02 |==================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better A . 0.66 |=================================================== B . 0.90 |===================================================================== C . 0.68 |==================================================== OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU ms < Lower Is Better A . 6052.97 |================================================================== B . 4424.41 |================================================ C . 5852.50 |================================================================ OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better A . 0.40 |================================================ B . 0.58 |===================================================================== C . 0.42 |================================================== OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU ms < Lower Is Better A . 9959.83 |================================================================== B . 6844.16 |============================================= C . 9538.72 |=============================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better A . 0.39 |================================================= B . 0.55 |===================================================================== C . 0.41 |=================================================== OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU ms < Lower Is Better A . 10170.58 |================================================================= B . 7271.93 |============================================== C . 9684.31 |============================================================== OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better A . 52.68 |========================================================== B . 61.27 |==================================================================== C . 57.98 |================================================================ OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better A . 75.93 |==================================================================== B . 65.24 |========================================================== C . 68.95 |============================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 2.56 |=================================================================== B . 2.63 |===================================================================== C . 2.63 |===================================================================== OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 1556.52 |================================================================== B . 1514.79 |================================================================ C . 1514.08 |================================================================ OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 145.52 |=============================================================== B . 155.60 |=================================================================== C . 147.96 |================================================================ OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 27.47 |==================================================================== B . 25.69 |================================================================ C . 27.01 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better A . 67.91 |================================================================= B . 70.94 |==================================================================== C . 69.53 |=================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better A . 58.87 |==================================================================== B . 56.35 |================================================================= C . 57.50 |================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better A . 8.99 |=================================================================== B . 9.24 |===================================================================== C . 9.14 |==================================================================== OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better A . 444.12 |=================================================================== B . 432.06 |================================================================= C . 437.29 |================================================================== OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better A . 265.52 |================================================================ B . 277.77 |=================================================================== C . 269.11 |================================================================= OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better A . 15.05 |==================================================================== B . 14.38 |================================================================= C . 14.84 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better A . 100.12 |================================================================== B . 101.23 |=================================================================== C . 101.95 |=================================================================== OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better A . 39.93 |==================================================================== B . 39.48 |=================================================================== C . 39.21 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better A . 1930.08 |================================================================ B . 1976.64 |================================================================== C . 1980.56 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better A . 2.05 |===================================================================== B . 2.00 |=================================================================== C . 2.00 |=================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better A . 5035.55 |=============================================================== B . 5249.93 |================================================================== C . 5233.56 |================================================================== OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better A . 0.79 |===================================================================== B . 0.75 |================================================================== C . 0.75 |==================================================================