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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2310295-PTS-QMC5934511
qmc 59
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","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 G513QY v1.0 (G513QY.318 BIOS),ASUS G513QY v1.0 (G513QY.318 BIOS),ASUS G513QY v1.0 (G513QY.318 BIOS)
Chipset,,AMD Renoir/Cezanne,AMD Renoir/Cezanne,AMD Renoir/Cezanne
Memory,,16GB,16GB,16GB
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"
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,16.01,15.24,16.84
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,249.53,262.09,237.27
"QMCPACK - Input: H4_ae (Execution Time - sec)",LIB,29.83,30.28,27.61
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,35.79,36.53,38.4
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,111.62,109.37,104.05
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,17.33,17.29,18.43
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,230.67,231.16,216.9
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,13784.65,13589.57,12959.59
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,3.66,3.67,3.89
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,1090.6,1088.93,1027.4
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,22.59,22.61,21.45
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,176.99,176.78,186.31
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.58,0.58,0.61
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,278.95,268.06,265.82
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,14.33,14.91,15.03
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,6455.44,6265.67,6203.97
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,15.48,15.83,16.03
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,258.28,252.65,249.43
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,21.24,21.37,20.65
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,188.15,187.02,193.53
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,62.19,60.21,61.02
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,128.53,132.75,131.02
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.23,1.26,1.27
"QMCPACK - Input: O_ae_pyscf_UHF (Execution Time - sec)",LIB,161.76,160.48,165.59
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,74.76,77.03,75.16
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,106.93,103.8,106.37
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,15.72,16.08,15.88
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,254.08,248.49,251.73
"QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,23.433,23.514,23.052
"QMCPACK - Input: LiH_ae_MSD (Execution Time - sec)",LIB,101.11,102.36,101.98
"QMCPACK - Input: Li2_STO_ae (Execution Time - sec)",LIB,271.03,273.26,270.01
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,10.33,10.21,10.22
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,386.34,390.81,390.57
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,15.28,15.3,15.44
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,523.24,522.68,517.99
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1770.1,1785.32,1776.48
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,2.24,2.23,2.23
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,42.97,42.85,42.89
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,93,93.26,93.18
"QMCPACK - Input: FeCO6_b3lyp_gms (Execution Time - sec)",LIB,148.74,148.6,148.42
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,5.23,5.24,5.24
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,761.17,760.16,760.51