tensorflow 2.12 intel tigerlake
Intel Core i7-1165G7 testing with a Dell 0GG9PT (3.11.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 22.10 via the Phoronix Test Suite.


a: 

	Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.11.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201

	OS: Ubuntu 22.10, Kernel: 5.19.0-35-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5, OpenCL: OpenCL 3.0, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1200

b: 

	Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.11.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201

	OS: Ubuntu 22.10, Kernel: 5.19.0-35-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5, OpenCL: OpenCL 3.0, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1200

c: 

	Processor: Intel Core i7-1165G7 @ 4.70GHz (4 Cores / 8 Threads), Motherboard: Dell 0GG9PT (3.11.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Kioxia KBG40ZNS256G NVMe 256GB, Graphics: Intel Xe TGL GT2 15GB (1300MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201

	OS: Ubuntu 22.10, Kernel: 5.19.0-35-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5, OpenCL: OpenCL 3.0, Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1200


TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 68.38 |====================================================================
b . 60.57 |============================================================
c . 59.54 |===========================================================


TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 3.67 |=====================================================================
b . 3.24 |=============================================================
c . 3.20 |============================================================


TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 28.62 |================================================================
b . 27.09 |============================================================
c . 30.60 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 70.69 |====================================================================
b . 63.76 |=============================================================
c . 62.92 |=============================================================


TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 51.31 |==============================================================
b . 56.40 |====================================================================
c . 56.69 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
a . 3.55 |=====================================================================
b . 3.39 |==================================================================
c . 3.39 |==================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 9.64 |=====================================================================
b . 9.46 |====================================================================
c . 9.47 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 72.47 |====================================================================
b . 72.03 |====================================================================
c . 71.57 |===================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 74.16 |====================================================================
b . 74.55 |====================================================================
c . 73.97 |===================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 28.78 |===================================================================
b . 28.95 |====================================================================
c . 29.00 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 28.90 |====================================================================
b . 28.93 |====================================================================
c . 28.81 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 30.31 |====================================================================
c . 30.39 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 9.76 |=====================================================================
b . 9.76 |=====================================================================
c . 9.75 |=====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.04 |====================================================================
b . 10.04 |====================================================================
c . 10.05 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a . 31.02 |====================================================================
c . 31.03 |====================================================================


TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: VGG-16
images/sec > Higher Is Better
a . 3.5 |======================================================================
b . 3.5 |======================================================================
c . 3.5 |======================================================================