tf tiger Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.3.0 BIOS) and Intel Xe TGL GT2 3GB on Ubuntu 21.10 via the Phoronix Test Suite. A: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.3.0 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 21.10, Kernel: 5.13.0-40-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 B: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.3.0 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 21.10, Kernel: 5.13.0-40-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 C: Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.3.0 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 21.10, Kernel: 5.13.0-40-generic (x86_64), Desktop: GNOME Shell 40.5, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 21.2.2, Vulkan: 1.2.182, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 1920x1200 TensorFlow Lite 2022-05-18 Model: SqueezeNet Microseconds < Lower Is Better A . 5544.16 |================================================================== B . 4716.69 |======================================================== C . 4855.75 |========================================================== TensorFlow Lite 2022-05-18 Model: Inception V4 Microseconds < Lower Is Better A . 91529.0 |================================================================== B . 78658.9 |========================================================= C . 87269.4 |=============================================================== TensorFlow Lite 2022-05-18 Model: NASNet Mobile Microseconds < Lower Is Better A . 15053.5 |================================================================== B . 12743.9 |======================================================== C . 13366.0 |=========================================================== TensorFlow Lite 2022-05-18 Model: Mobilenet Float Microseconds < Lower Is Better A . 4148.55 |================================================================== B . 4063.77 |================================================================= C . 4060.91 |================================================================= TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Microseconds < Lower Is Better A . 7313.95 |================================================================== B . 5759.93 |==================================================== C . 6241.66 |======================================================== TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Microseconds < Lower Is Better A . 88303.4 |================================================================== B . 85246.5 |================================================================ C . 84127.2 |===============================================================