AMD Ryzen 9 5900HX testing with a ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401107-PTS-FGHJ244998
fghj
AMD Ryzen 9 5900HX testing with a ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite.
,,"a","b","c"
Processor,,AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads),AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads),AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads)
Motherboard,,ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS),ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS),ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS)
Chipset,,AMD Renoir/Cezanne,AMD Renoir/Cezanne,AMD Renoir/Cezanne
Memory,,2 x 8 GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2,2 x 8 GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2,2 x 8 GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2
Disk,,512GB SAMSUNG MZVLQ512HBLU-00B00,512GB SAMSUNG MZVLQ512HBLU-00B00,512GB SAMSUNG MZVLQ512HBLU-00B00
Graphics,,ASUS AMD Cezanne 512MB (2500/1000MHz),ASUS AMD Cezanne 512MB,ASUS AMD Cezanne 512MB (2500/1000MHz)
Audio,,AMD Navi 21/23,AMD Navi 21/23,AMD Navi 21/23
Monitor,,LQ156M1JW25,LQ156M1JW25,LQ156M1JW25
Network,,Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI,Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI,Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI
OS,,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10
Kernel,,5.19.0-46-generic (x86_64),5.19.0-46-generic (x86_64),5.19.0-46-generic (x86_64)
Desktop,,GNOME Shell 43.0,GNOME Shell 43.0,GNOME Shell 43.0
Display Server,,X Server 1.21.1.4 + Wayland,X Server 1.21.1.4 + Wayland,X Server 1.21.1.4 + Wayland
OpenGL,,4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47),4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47),4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47)
Vulkan,,1.3.224,1.3.224,1.3.224
Compiler,,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"a","b","c"
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,9.09,9.07,9.14
"TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,3.5,3.52,3.54
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,11390000,11406667,11416667
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,6.22,6.28,6.30
"Speedb - Test: Random Fill Sync (Op/s)",HIB,11900,6186,5060
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,20.22,18.95,19.76
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,7.59,7.65,7.70
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,22560000,22713333,22536667
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,34.04,34.44,34.13
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,9.58,9.46,9.48
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,11990000,11966667,11953333
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,21.12,21.20,21.25
"TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,1.43,1.45,1.46
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,15.15,15.27,15.21
"Speedb - Test: Random Fill (Op/s)",HIB,819366,821234,818673
"Speedb - Test: Read Random Write Random (Op/s)",HIB,1769691,1776164,1778569
"Speedb - Test: Read While Writing (Op/s)",HIB,3035137,2842258,2960839
"Speedb - Test: Update Random (Op/s)",HIB,458594,472342,474392
"Speedb - Test: Random Read (Op/s)",HIB,51459190,51062544,51108888
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,50.423,49.828,49.804
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,40.05,40.34,40.40
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,4.61,4.69,4.71
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,5.09,5.13,5.15
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,23.263,23.077,22.894
"Speedb - Test: Sequential Fill (Op/s)",HIB,933961,935621,944900
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,12.17,12.22,12.05