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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2205194-PTS-TFTIGER699
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 |===============================================================