tensorflow spacy
Intel Core i9-12900K testing with a ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS) and Intel Arc A770 DG2 16GB on Ubuntu 22.04 via the Phoronix Test Suite.


A: 

	Processor: Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS), Chipset: Intel Device 7aa7, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: Intel Arc A770 DG2 16GB (2400MHz), Audio: Intel Device 7ad0, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

	OS: Ubuntu 22.04, Kernel: 6.0.0-060000-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-8945375 2022-10-04 jammy-oibaf-ppa), Vulkan: 1.3.230, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160

B: 

	Processor: Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS), Chipset: Intel Device 7aa7, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: Intel Arc A770 DG2 16GB (2400MHz), Audio: Intel Device 7ad0, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

	OS: Ubuntu 22.04, Kernel: 6.0.0-060000-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-8945375 2022-10-04 jammy-oibaf-ppa), Vulkan: 1.3.230, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160

C: 

	Processor: Intel Core i9-12900K @ 5.20GHz (16 Cores / 24 Threads), Motherboard: ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS), Chipset: Intel Device 7aa7, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0 + 2000GB, Graphics: Intel Arc A770 DG2 16GB (2400MHz), Audio: Intel Device 7ad0, Monitor: ASUS VP28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

	OS: Ubuntu 22.04, Kernel: 6.0.0-060000-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (git-8945375 2022-10-04 jammy-oibaf-ppa), Vulkan: 1.3.230, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160


spaCy 3.4.1
Model: en_core_web_lg
tokens/sec > Higher Is Better
A . 18752 |====================================================================
C . 18780 |====================================================================
B . 18784 |====================================================================


spaCy 3.4.1
Model: en_core_web_trf
tokens/sec > Higher Is Better
A . 1683 |====================================================================
C . 1689 |====================================================================
B . 1708 |=====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
A . 133.10 |===================================================================
B . 130.49 |==================================================================
C . 131.80 |==================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
A . 160.36 |===================================================================
B . 159.86 |==================================================================
C . 161.42 |===================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
A . 173.88 |==================================================================
B . 175.78 |===================================================================
C . 176.56 |===================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
A . 196.06 |==================================================================
B . 198.18 |===================================================================
C . 197.89 |===================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
A . 217.17 |===================================================================
B . 216.01 |===================================================================
C . 216.23 |===================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
A . 86.44 |====================================================================
C . 86.67 |====================================================================
B . 86.26 |====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
A . 27.70 |====================================================================
B . 26.15 |================================================================
C . 27.83 |====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
A . 87.08 |====================================================================
B . 86.20 |===================================================================
C . 87.43 |====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
A . 27.47 |===================================================================
B . 27.87 |====================================================================
C . 27.54 |===================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
A . 88.04 |====================================================================
B . 86.76 |===================================================================
C . 88.26 |====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
A . 28.13 |====================================================================
B . 28.14 |====================================================================
C . 28.23 |====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
A . 92.45 |====================================================================
B . 88.86 |=================================================================
C . 92.64 |====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
A . 29.17 |====================================================================
C . 29.20 |====================================================================
B . 29.21 |====================================================================


TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
A . 95.69 |====================================================================
B . 95.56 |====================================================================