tensorflow-212-intel-raptorlake Intel Core i9-13900K testing with a ASUS PRIME Z790-P WIFI (0809 BIOS) and AMD Radeon RX 6800 16GB on Ubuntu 23.04 via the Phoronix Test Suite. a: Processor: Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 16GB (2475/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70 OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 16GB (2475/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70 OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 16GB (2475/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70 OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads), Motherboard: ASUS PRIME Z790-P WIFI (0809 BIOS), Chipset: Intel Device 7a27, Memory: 32GB, Disk: 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 6800 16GB (2475/1000MHz), Audio: Realtek ALC897, Monitor: ASUS VP28U, Network: Intel Device 7a70 OS: Ubuntu 23.04, Kernel: 5.19.0-21-generic (x86_64), Desktop: GNOME Shell 43.2, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.47), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 11.23 |==================================================================== b . 10.89 |================================================================== c . 11.23 |==================================================================== d . 11.24 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: VGG-16 images/sec > Higher Is Better a . 11.20 |==================================================================== b . 11.05 |=================================================================== c . 11.18 |==================================================================== d . 11.16 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: VGG-16 images/sec > Higher Is Better a . 11.32 |==================================================================== b . 11.26 |==================================================================== c . 11.27 |==================================================================== d . 11.32 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 164.48 |=================================================================== b . 164.04 |=================================================================== c . 164.32 |=================================================================== d . 164.36 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: VGG-16 images/sec > Higher Is Better a . 12.31 |==================================================================== b . 12.27 |==================================================================== c . 12.27 |==================================================================== d . 12.29 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 210.48 |=================================================================== b . 210.18 |=================================================================== c . 209.75 |=================================================================== d . 210.21 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 237.38 |=================================================================== b . 237.13 |=================================================================== c . 237.49 |=================================================================== d . 236.83 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 252.14 |=================================================================== b . 251.57 |=================================================================== c . 252.07 |=================================================================== d . 251.15 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 255.70 |=================================================================== b . 256.07 |=================================================================== c . 256.03 |=================================================================== d . 257.10 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 120.19 |================================================================== b . 120.34 |================================================================== c . 121.27 |=================================================================== d . 118.61 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 37.30 |=================================================================== b . 37.59 |==================================================================== c . 37.61 |==================================================================== d . 37.47 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 112.65 |================================================================= b . 115.12 |=================================================================== c . 113.40 |================================================================== d . 115.84 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 36.20 |==================================================================== b . 36.18 |==================================================================== c . 36.27 |==================================================================== d . 36.31 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 111.30 |=================================================================== b . 110.25 |================================================================== c . 110.29 |================================================================== d . 111.73 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 35.86 |==================================================================== b . 35.74 |==================================================================== c . 35.83 |==================================================================== d . 35.79 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 109.00 |=================================================================== b . 108.88 |=================================================================== c . 109.08 |=================================================================== d . 109.28 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 35.22 |==================================================================== b . 35.11 |==================================================================== c . 35.07 |==================================================================== d . 35.04 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better b . 109.93 |=================================================================== c . 110.15 |=================================================================== d . 109.92 |===================================================================