ryzen-5500-tensorflow-16mar2023
AMD Ryzen 5 5500 testing with a MSI B450I GAMING PLUS MAX WIFI (MS-7A40) v2.0 (B.90 BIOS) and Sapphire AMD Radeon RX 570 8GB on EndeavourOS rolling via the Phoronix Test Suite.


ryzen-5500-tensorflow-16mar2023: 

	Processor: AMD Ryzen 5 5500 @ 3.60GHz (6 Cores / 12 Threads), Motherboard: MSI B450I GAMING PLUS MAX WIFI (MS-7A40) v2.0 (B.90 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 32GB, Disk: 250GB Western Digital WDS250G3X0C-00SJG0 + 1000GB Samsung SSD 860, Graphics: Sapphire AMD Radeon RX 570 8GB (1284/1750MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: M34WQ, Network: Realtek RTL8111/8168/8411

	OS: EndeavourOS rolling, Kernel: 6.2.2-arch2-1 (x86_64), Desktop: GNOME Shell 43.3, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.1 20230201, File-System: btrfs, Screen Resolution: 2752x1152


TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 3.56 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 3.76 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: VGG-16
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 3.91 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 39.01 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: VGG-16
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 3.92 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 54.06 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: VGG-16
images/sec > Higher Is Better


TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 64.92 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 75.77 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 77.77 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 23.82 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 7.55 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 24.34 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 7.87 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 24.02 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 7.82 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 24.07 |======================================


TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 8.22 |=======================================


TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
ryzen-5500-tensorflow-16mar2023 . 23.99 |======================================