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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2210088-PTS-TENSORFL08
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
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 |====================================================================
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: 512 - Model: AlexNet
images/sec > Higher Is Better
A . 217.17 |===================================================================
B . 216.01 |===================================================================
C . 216.23 |===================================================================
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: AlexNet
images/sec > Higher Is Better
A . 196.06 |==================================================================
B . 198.18 |===================================================================
C . 197.89 |===================================================================
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: 16 - Model: ResNet-50
images/sec > Higher Is Better
A . 27.70 |====================================================================
B . 26.15 |================================================================
C . 27.83 |====================================================================
spaCy 3.4.1
Model: en_core_web_trf
tokens/sec > Higher Is Better
A . 1683 |====================================================================
C . 1689 |====================================================================
B . 1708 |=====================================================================
spaCy 3.4.1
Model: en_core_web_lg
tokens/sec > Higher Is Better
A . 18752 |====================================================================
C . 18780 |====================================================================
B . 18784 |====================================================================
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: 64 - Model: AlexNet
images/sec > Higher Is Better
A . 173.88 |==================================================================
B . 175.78 |===================================================================
C . 176.56 |===================================================================
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: 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: AlexNet
images/sec > Higher Is Better
A . 133.10 |===================================================================
B . 130.49 |==================================================================
C . 131.80 |==================================================================