Tensorflow
Intel Core Ultra 9 285K testing with a MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS) and MSI Intel Arc A750 DG2 8GB on Ubuntu 24.10 via the Phoronix Test Suite.


Intel ARC A750: 

	Processor: Intel Core Ultra 9 285K @ 5.10GHz (24 Cores), Motherboard: MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS), Chipset: Intel Device ae7f, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z30, Disk: 1024GB Wodposit NVMe SSD, Graphics: MSI Intel Arc A750 DG2 8GB, Audio: Intel DG2 Audio, Monitor: PiKVM V3, Network: Realtek Device 5000 + Intel Wi-Fi 7

	OS: Ubuntu 24.10, Kernel: 6.12.1-061201-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3.1 kisak-mesa PPA, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1080


TensorFlow 2.16.1
Device: GPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
Intel ARC A750 . 29.43 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
Intel ARC A750 . 8.33 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
Intel ARC A750 . 29.32 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
Intel ARC A750 . 8.20 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
Intel ARC A750 . 27.95 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
Intel ARC A750 . 8.08 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
Intel ARC A750 . 26.52 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
Intel ARC A750 . 7.87 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
Intel ARC A750 . 23.95 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
Intel ARC A750 . 47.77 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
Intel ARC A750 . 46.35 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
Intel ARC A750 . 5.25 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
Intel ARC A750 . 15.75 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
Intel ARC A750 . 43.01 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
Intel ARC A750 . 39.62 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 64 - Model: VGG-16
images/sec > Higher Is Better
Intel ARC A750 . 2.43 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
Intel ARC A750 . 2.43 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
Intel ARC A750 . 2.40 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
Intel ARC A750 . 15.93 |=======================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
Intel ARC A750 . 1.71 |========================================================


TensorFlow 2.16.1
Device: GPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better


TensorFlow 2.16.1
Device: GPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better


TensorFlow 2.16.1
Device: GPU - Batch Size: 512 - Model: VGG-16
images/sec > Higher Is Better


TensorFlow 2.16.1
Device: GPU - Batch Size: 256 - Model: VGG-16
images/sec > Higher Is Better