AMD Ryzen 5 8500G testing with a ASRock B650 Pro RS (2.08.AS01 BIOS) and AMD Phoenix2 512MB on Ubuntu 23.10 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 2403084-NE-8500GNEW648
8500g new
AMD Ryzen 5 8500G testing with a ASRock B650 Pro RS (2.08.AS01 BIOS) and AMD Phoenix2 512MB on Ubuntu 23.10 via the Phoronix Test Suite.
,,"a","b"
Processor,,AMD Ryzen 5 8500G @ 5.08GHz (6 Cores / 12 Threads),AMD Ryzen 5 8500G @ 5.08GHz (6 Cores / 12 Threads)
Motherboard,,ASRock B650 Pro RS (2.08.AS01 BIOS),ASRock B650 Pro RS (2.08.AS01 BIOS)
Chipset,,AMD Device 14e8,AMD Device 14e8
Memory,,2 x 16GB DRAM-6400MT/s F5-6400J3239G16G,2 x 16GB DRAM-6400MT/s F5-6400J3239G16G
Disk,,Western Digital WD_BLACK SN850X 2000GB,Western Digital WD_BLACK SN850X 2000GB
Graphics,,AMD Phoenix2 512MB,AMD Phoenix2 512MB
Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio
Monitor,,MX279,MX279
Network,,Realtek RTL8125 2.5GbE,Realtek RTL8125 2.5GbE
OS,,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.7.3-060703-generic (x86_64),6.7.3-060703-generic (x86_64)
Desktop,,GNOME Shell 45.2,GNOME Shell 45.2
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 24.1~git2402040600.8368a9~oibaf~m (git-8368a97 2024-02-04 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.57),4.6 Mesa 24.1~git2402040600.8368a9~oibaf~m (git-8368a97 2024-02-04 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.57)
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"a","b"
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 1 (FPS)",HIB,23.28483,17.744675
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 2 (FPS)",HIB,16.407808,17.77825
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 1 (FPS)",HIB,24.786669,23.032478
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 2 (FPS)",HIB,15.572132,10.562381
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: Off (FPS)",HIB,16.342812,22.921741
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: Off (FPS)",HIB,23.415987,24.946207
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 1 (FPS)",HIB,6.581098,5.191101
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 2 (FPS)",HIB,4.28448,5.926433
"FurMark - Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 1 (FPS)",HIB,7.736106,7.95105
"FurMark - Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 2 (FPS)",HIB,4.561718,5.128764
"FurMark - Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: Off (FPS)",HIB,7.225303,6.79249
"FurMark - Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: Off (FPS)",HIB,7.237682,7.638262
"JPEG-XL libjxl - Input: PNG - Quality: 80 (MP/s)",HIB,26.128,26.343
"JPEG-XL libjxl - Input: PNG - Quality: 90 (MP/s)",HIB,24.271,24.096
"JPEG-XL libjxl - Input: JPEG - Quality: 80 (MP/s)",HIB,25.955,26.161
"JPEG-XL libjxl - Input: JPEG - Quality: 90 (MP/s)",HIB,24.479,24.524
"JPEG-XL libjxl - Input: PNG - Quality: 100 (MP/s)",HIB,10.231,10.27
"JPEG-XL libjxl - Input: JPEG - Quality: 100 (MP/s)",HIB,10.207,10.205
"JPEG-XL Decoding libjxl - CPU Threads: 1 (MP/s)",HIB,60.528,72.122
"JPEG-XL Decoding libjxl - CPU Threads: All (MP/s)",HIB,314.28,319.942
"oneDNN - Harness: IP Shapes 1D - Engine: CPU (ms)",LIB,3.40944,3.41376
"oneDNN - Harness: IP Shapes 3D - Engine: CPU (ms)",LIB,4.25037,4.23756
"oneDNN - Harness: Convolution Batch Shapes Auto - Engine: CPU (ms)",LIB,8.38357,8.3021
"oneDNN - Harness: Deconvolution Batch shapes_1d - Engine: CPU (ms)",LIB,6.54831,6.52596
"oneDNN - Harness: Deconvolution Batch shapes_3d - Engine: CPU (ms)",LIB,7.44675,7.44522
"oneDNN - Harness: Recurrent Neural Network Training - Engine: CPU (ms)",LIB,4083.29,4081.18
"oneDNN - Harness: Recurrent Neural Network Inference - Engine: CPU (ms)",LIB,2107.15,2106.08
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,3.87,3.86
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,1025.07,1026.63
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,36.59,37.17
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,109.17,107.47
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,36.7,37.4
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,108.85,106.86
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,270.92,271.63
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,14.74,14.7
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,7.53,7.56
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,529.92,528.99
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (FPS)",HIB,965.46,966.6
"OpenVINO - Model: Face Detection Retail FP16 - Device: CPU (ms)",LIB,4.12,4.11
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (FPS)",HIB,114.76,113.42
"OpenVINO - Model: Road Segmentation ADAS FP16 - Device: CPU (ms)",LIB,34.8,35.21
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,458.79,460.25
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,8.68,8.66
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,398.22,398.87
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,15.02,15
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (FPS)",HIB,1399.88,1398.93
"OpenVINO - Model: Face Detection Retail FP16-INT8 - Device: CPU (ms)",LIB,4.26,4.26
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (FPS)",HIB,151.59,150.11
"OpenVINO - Model: Road Segmentation ADAS FP16-INT8 - Device: CPU (ms)",LIB,26.34,26.6
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,50.5,48.63
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,79.14,82.19
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,780.32,780.63
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,7.66,7.66
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,439.05,438.56
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,9.08,9.1
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (FPS)",HIB,570.04,571.9
"OpenVINO - Model: Noise Suppression Poconet-Like FP16 - Device: CPU (ms)",LIB,10.43,10.39
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (FPS)",HIB,234.84,237.46
"OpenVINO - Model: Handwritten English Recognition FP16 - Device: CPU (ms)",LIB,25.53,25.25
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (FPS)",HIB,548.71,546.1
"OpenVINO - Model: Person Re-Identification Retail FP16 - Device: CPU (ms)",LIB,7.25,7.29
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,11212.9,11229.15
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,0.51,0.51
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (FPS)",HIB,243.19,237.86
"OpenVINO - Model: Handwritten English Recognition FP16-INT8 - Device: CPU (ms)",LIB,24.65,25.19
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,16040.29,15918.96
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,0.36,0.36
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,6.106,6.158
"Chaos Group V-RAY - Mode: CPU (vsamples)",HIB,14206,14206