dgdss

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.

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March 10
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March 10
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March 10
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dgdss 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 8GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2,2 x 8GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2,2 x 8GB 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 (2500/1000MHz),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: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,95.19,99.96,102.8 "OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,41.96,39.97,38.87 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,408.73,425.67,400.59 "OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,9.77,9.38,9.96 "OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,262.88,264.58,253.38 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,12.78,13.34,13.11 "OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,311.3,298.25,303.21 "OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,15.21,15.12,15.77 "Parallel BZIP2 Compression - FreeBSD-13.0-RELEASE-amd64-memstick.img Compression (sec)",LIB,8.184183,7.865844,7.854681 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,21.95,21.99,22.71 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,277.5,268.28,273.28 "OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,182.02,181.66,176.01 "OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,14.4,14.89,14.62 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,181.9,187.1,183.6 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,110.35,107.57,109.76 "OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,72.47,74.32,72.85 "OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,263.28,264.04,258.06 "OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,15.19,15.15,15.49 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,6715.8,6683.71,6575.21 "srsRAN Project - Test: PUSCH Processor Benchmark, Throughput Total (Mbps)",HIB,1033.1,1039.6,1018.3 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.18,1.18,1.2 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Total (Mbps)",HIB,2163.2,2127.2,2160.9 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,103.62,103.93,102.28 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,41.6,40.94,41.22 "OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,77.15,76.94,78.18 "OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,96.07,97.6,96.94 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,261.94,261.03,257.97 "OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,15.26,15.31,15.49 "Google Draco - Model: Lion (ms)",LIB,4939,4997,5012 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,3.7,3.65,3.68 "OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,2.23,2.25,2.26 "OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,1080.39,1093.96,1086.65 "srsRAN Project - Test: PDSCH Processor Benchmark, Throughput Thread (Mbps)",HIB,592.4,597.5,590.1 "OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1782.97,1762.27,1769.88 "Google Draco - Model: Church Facade (ms)",LIB,6711,6778,6757 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,181.99,181.29,180.26 "OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,21.97,22.05,22.17 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,14010.12,13920.34,13922.85 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,345.67,347.08,345.22 "OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,11.56,11.51,11.57 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,5.33,5.32,5.31 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,235.14,235.69,235.74 "OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,17,16.96,16.96 "OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,750.28,750.68,749.74 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,522.23,522.68,522.22 "OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,15.31,15.3,15.31 "OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.57,0.57,0.57