tigerlake ncnn cassandra Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.0.3 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.0.3 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 21.04, Kernel: 5.13.0-051300-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa), Vulkan: 1.2.182, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1200 2: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.0.3 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 21.04, Kernel: 5.13.0-051300-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa), Vulkan: 1.2.182, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1200 3: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.0.3 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 21.04, Kernel: 5.13.0-051300-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa), Vulkan: 1.2.182, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1200 4: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.0.3 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 3GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 OS: Ubuntu 21.04, Kernel: 5.13.0-051300-generic (x86_64), Desktop: GNOME Shell 3.38.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.0-devel (git-dd98918 2021-07-12 hirsute-oibaf-ppa), Vulkan: 1.2.182, Compiler: GCC 10.3.0, File-System: ext4, Screen Resolution: 1920x1200 NCNN 20210720 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 20.76 |======================================================= 2 . 20.73 |======================================================= 3 . 25.83 |==================================================================== 4 . 25.61 |=================================================================== NCNN 20210720 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 5.16 |======================================================= 2 . 5.10 |====================================================== 3 . 6.41 |==================================================================== 4 . 6.48 |===================================================================== NCNN 20210720 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 4.21 |==================================================== 2 . 4.16 |=================================================== 3 . 5.36 |================================================================== 4 . 5.62 |===================================================================== NCNN 20210720 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 4.42 |================================================ 2 . 4.42 |================================================ 3 . 5.78 |=============================================================== 4 . 6.32 |===================================================================== NCNN 20210720 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 4.38 |================================================ 2 . 4.39 |================================================ 3 . 5.75 |=============================================================== 4 . 6.33 |===================================================================== NCNN 20210720 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 6.87 |================================================= 2 . 6.93 |================================================= 3 . 9.64 |===================================================================== 4 . 9.70 |===================================================================== NCNN 20210720 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 1.58 |============================================== 2 . 1.58 |============================================== 3 . 2.35 |===================================================================== 4 . 2.32 |==================================================================== NCNN 20210720 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 14.66 |================================================= 2 . 14.69 |================================================= 3 . 20.37 |==================================================================== 4 . 20.43 |==================================================================== NCNN 20210720 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 54.80 |========================================================= 2 . 54.93 |========================================================= 3 . 65.73 |==================================================================== 4 . 65.79 |==================================================================== NCNN 20210720 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 14.19 |=================================================== 2 . 14.23 |==================================================== 3 . 18.76 |==================================================================== 4 . 18.77 |==================================================================== NCNN 20210720 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 13.02 |===================================================== 2 . 13.05 |===================================================== 3 . 16.76 |==================================================================== 4 . 16.78 |==================================================================== NCNN 20210720 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 30.18 |======================================================= 2 . 29.83 |======================================================= 3 . 37.10 |==================================================================== 4 . 36.88 |==================================================================== NCNN 20210720 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 29.41 |======================================================= 2 . 29.26 |====================================================== 3 . 36.60 |==================================================================== 4 . 36.23 |=================================================================== NCNN 20210720 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 25.85 |===================================================== 2 . 25.55 |==================================================== 3 . 33.28 |==================================================================== 4 . 33.17 |==================================================================== NCNN 20210720 Target: CPU - Model: regnety_400m ms < Lower Is Better 1 . 9.58 |================================================ 2 . 9.54 |================================================ 3 . 13.64 |==================================================================== 4 . 13.65 |==================================================================== NCNN 20210720 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 19.58 |============================================================= 2 . 21.18 |================================================================== 3 . 20.43 |================================================================ 4 . 21.71 |==================================================================== NCNN 20210720 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 11.62 |==================================================================== 2 . 11.49 |=================================================================== 3 . 11.66 |==================================================================== 4 . 11.44 |=================================================================== NCNN 20210720 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 15.77 |==================================================================== 2 . 15.53 |=================================================================== 3 . 15.33 |================================================================== 4 . 14.37 |============================================================== NCNN 20210720 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 14.12 |==================================================================== 2 . 11.47 |======================================================= 3 . 12.14 |========================================================== 4 . 9.61 |============================================== NCNN 20210720 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 11.93 |==================================================================== 2 . 11.93 |==================================================================== 3 . 11.76 |=================================================================== 4 . 10.91 |============================================================== NCNN 20210720 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 16.42 |=================================================================== 2 . 16.34 |=================================================================== 3 . 16.70 |==================================================================== 4 . 15.20 |============================================================== NCNN 20210720 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 3.01 |==================================================================== 2 . 2.99 |=================================================================== 3 . 2.99 |=================================================================== 4 . 3.07 |===================================================================== NCNN 20210720 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 16.43 |================================================================ 2 . 17.45 |==================================================================== 3 . 16.00 |============================================================== 4 . 15.39 |============================================================ NCNN 20210720 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 36.72 |==================================================================== 2 . 36.78 |==================================================================== 3 . 36.79 |==================================================================== 4 . 36.86 |==================================================================== NCNN 20210720 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 12.84 |==================================================================== 2 . 12.73 |=================================================================== 3 . 12.21 |================================================================= 4 . 11.58 |============================================================= NCNN 20210720 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 11.24 |================================================================ 2 . 11.13 |================================================================ 3 . 11.45 |================================================================= 4 . 11.91 |==================================================================== NCNN 20210720 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 15.27 |================================================================== 2 . 15.21 |================================================================== 3 . 15.57 |=================================================================== 4 . 15.70 |==================================================================== NCNN 20210720 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 45.99 |==================================================================== 2 . 42.63 |=============================================================== 3 . 42.78 |=============================================================== 4 . 43.98 |================================================================= NCNN 20210720 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better 1 . 12.00 |======================================================= 2 . 14.89 |==================================================================== 3 . 13.28 |============================================================= 4 . 14.15 |================================================================= NCNN 20210720 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better 1 . 15.51 |=================================================================== 2 . 14.72 |================================================================ 3 . 15.73 |==================================================================== 4 . 15.00 |================================================================= Apache Cassandra 4.0 Test: Reads Op/s > Higher Is Better 1 . 36312 |================================================================ 2 . 38604 |==================================================================== 3 . 31725 |======================================================== Apache Cassandra 4.0 Test: Writes Op/s > Higher Is Better 1 . 47906 |=================================================================== 2 . 48732 |==================================================================== 3 . 40411 |======================================================== Apache Cassandra 4.0 Test: Mixed 1:1 Op/s > Higher Is Better 1 . 33908 |==================================================================== 2 . 32932 |================================================================== Apache Cassandra 4.0 Test: Mixed 1:3 Op/s > Higher Is Better 1 . 33407 |==================================================================== 2 . 32650 |==================================================================