ryzen-5500-tensorflow-15mar2023

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.

HTML result view exported from: https://openbenchmarking.org/result/2303164-TEHT-RYZEN5530.

ryzen-5500-tensorflow-15mar2023ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen Resolutionryzen-5500-tensorflow-15mar2023AMD Ryzen 5 5500 @ 3.60GHz (6 Cores / 12 Threads)MSI B450I GAMING PLUS MAX WIFI (MS-7A40) v2.0 (B.90 BIOS)AMD Renoir/Cezanne32GB250GB Western Digital WDS250G3X0C-00SJG0 + 1000GB Samsung SSD 860Sapphire AMD Radeon RX 570 8GB (1284/1750MHz)AMD Ellesmere HDMI AudioM34WQRealtek RTL8111/8168/8411EndeavourOS rolling6.2.2-arch2-1 (x86_64)GNOME Shell 43.3X Server 1.21.1.4 + Wayland4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.49)GCC 12.2.1 20230201btrfs2752x1152OpenBenchmarking.org- amdgpu.ppfeaturemask=0xffffffff - Transparent Huge Pages: always- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa50000d- Python 3.10.9- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

ryzen-5500-tensorflow-15mar2023tensorflow: CPU - 16 - VGG-16tensorflow: CPU - 32 - VGG-16tensorflow: CPU - 64 - VGG-16tensorflow: CPU - 16 - AlexNettensorflow: CPU - 256 - VGG-16tensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNetryzen-5500-tensorflow-15mar20233.553.773.9038.893.9553.7864.6675.4277.9924.247.6724.727.5823.937.6023.208.1823.82OpenBenchmarking.org

TensorFlow

Device: CPU - Batch Size: 16 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: VGG-16ryzen-5500-tensorflow-15mar20230.79881.59762.39643.19523.994SE +/- 0.01, N = 33.55

TensorFlow

Device: CPU - Batch Size: 32 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: VGG-16ryzen-5500-tensorflow-15mar20230.84831.69662.54493.39324.2415SE +/- 0.00, N = 33.77

TensorFlow

Device: CPU - Batch Size: 64 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: VGG-16ryzen-5500-tensorflow-15mar20230.87751.7552.63253.514.3875SE +/- 0.00, N = 33.90

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetryzen-5500-tensorflow-15mar2023918273645SE +/- 0.05, N = 338.89

TensorFlow

Device: CPU - Batch Size: 256 - Model: VGG-16

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: VGG-16ryzen-5500-tensorflow-15mar20230.88881.77762.66643.55524.444SE +/- 0.00, N = 33.95

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetryzen-5500-tensorflow-15mar20231224364860SE +/- 0.08, N = 353.78

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetryzen-5500-tensorflow-15mar20231428425670SE +/- 0.04, N = 364.66

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetryzen-5500-tensorflow-15mar202320406080100SE +/- 0.07, N = 375.42

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNetryzen-5500-tensorflow-15mar202320406080100SE +/- 0.08, N = 377.99

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetryzen-5500-tensorflow-15mar2023612182430SE +/- 0.04, N = 324.24

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50ryzen-5500-tensorflow-15mar2023246810SE +/- 0.08, N = 37.67

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetryzen-5500-tensorflow-15mar2023612182430SE +/- 0.08, N = 324.72

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50ryzen-5500-tensorflow-15mar2023246810SE +/- 0.02, N = 37.58

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetryzen-5500-tensorflow-15mar2023612182430SE +/- 0.08, N = 323.93

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50ryzen-5500-tensorflow-15mar2023246810SE +/- 0.03, N = 37.60

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetryzen-5500-tensorflow-15mar2023612182430SE +/- 0.03, N = 323.20

TensorFlow

Device: CPU - Batch Size: 256 - Model: ResNet-50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-50ryzen-5500-tensorflow-15mar2023246810SE +/- 0.01, N = 38.18

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNetryzen-5500-tensorflow-15mar2023612182430SE +/- 0.06, N = 323.82


Phoronix Test Suite v10.8.4