pyt

AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite.

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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
November 16 2023
  39 Minutes
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pyt AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite. ,,"a" Processor,,AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads) Motherboard,,ASUS G513QY v1.0 (G513QY.318 BIOS) Chipset,,AMD Renoir/Cezanne Memory,,16GB Disk,,512GB SAMSUNG MZVLQ512HBLU-00B00 Graphics,,ASUS AMD Cezanne 512MB (2500/1000MHz) Audio,,AMD Navi 21/23 Monitor,,LQ156M1JW25 Network,,Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI OS,,Ubuntu 22.10 Kernel,,5.19.0-46-generic (x86_64) Desktop,,GNOME Shell 43.0 Display Server,,X Server 1.21.1.4 + Wayland OpenGL,,4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47) Vulkan,,1.3.224 Compiler,,GCC 12.2.0 File-System,,ext4 Screen Resolution,,1920x1080 ,,"a" "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,34.05 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,15.16 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,17.32 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,20.26 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,19.10 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,9.31 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,19.14 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,8.45 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,19.29 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,9.20 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,9.15 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,9.03 "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,9.41 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.22 "PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.28