new tests icelake Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus G7 3GB on Ubuntu 20.04 via the Phoronix Test Suite. Intel Killer Wi-Fi 6 AX1650i 160MHz: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Device 34ef, Memory: 16GB, Disk: KBG40ZPZ512G NVMe TOSHIBA 512GB, Graphics: Intel Iris Plus G7 3GB (1100MHz), Audio: Realtek ALC289, Network: Intel Killer Wi-Fi 6 AX1650i 160MHz OS: Ubuntu 20.04, Kernel: 5.4.0-33-generic (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 WireGuard + Linux Networking Stack Stress Test Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 290.31 |================================= Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 846.14 |================================= Rodinia 3.1 Test: OpenMP Myocyte Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 3.519 |================================== Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 112.18 |================================= Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 329.25 |================================= Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 54.38 |================================== Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 28.13 |================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 14.91 |================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 176.55 |================================= oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 3.22710 |================================ oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 42.70 |================================== oneDNN 1.5 Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 33.04 |================================== oneDNN 1.5 Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 448.84 |================================= oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 15.53 |================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 15.55 |================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 13.55 |================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 11.56 |================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 3.92116 |================================ oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 3.51752 |================================ oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 867.42 |================================= oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 230.67 |================================= oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 63.72 |================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 72.76 |================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 50.36 |================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 5.16681 |================================ oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 2.61865 |================================ oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 15.71 |================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 284.80 |================================= Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping Test Cases Per Minute > Higher Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 854.67 |================================= Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image Test Cases Per Minute > Higher Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 24625.80 |=============================== Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster Test Cases Per Minute > Higher Is Better Intel Killer Wi-Fi 6 AX1650i 160MHz . 743.25 |=================================