3300X Ne AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads), Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 256GB INTEL SSDPEKKW256G7, Graphics: AMD FirePro V3800 512MB, Audio: AMD Redwood HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads), Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 256GB INTEL SSDPEKKW256G7, Graphics: AMD FirePro V3800 512MB, Audio: AMD Redwood HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads), Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 256GB INTEL SSDPEKKW256G7, Graphics: AMD FirePro V3800 512MB, Audio: AMD Redwood HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads), Motherboard: MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 256GB INTEL SSDPEKKW256G7, Graphics: AMD FirePro V3800 512MB, Audio: AMD Redwood HDMI Audio, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 174.89 |================================================================== 2 . 178.09 |=================================================================== 3 . 178.30 |=================================================================== 4 . 174.47 |================================================================== CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 996.62 |=================================================================== 2 . 995.35 |=================================================================== 3 . 997.56 |=================================================================== 4 . 999.11 |=================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 232054367 |=============================================================== 2 . 233224533 |================================================================ 3 . 233369867 |================================================================ 4 . 234006167 |================================================================ OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 300.64 |=================================================================== 2 . 299.29 |=================================================================== 3 . 299.55 |=================================================================== 4 . 299.71 |=================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 1305.09 |================================================================== 2 . 1288.56 |================================================================= 3 . 1292.41 |================================================================= 4 . 1307.30 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 3.128 |==================================================================== 2 . 3.077 |================================================================== 3 . 3.032 |================================================================= 4 . 3.150 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1588.26 |================================================================== 2 . 1577.92 |================================================================== 3 . 1574.44 |================================================================= 4 . 1572.39 |================================================================= dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 390.15 |=================================================================== 2 . 388.22 |=================================================================== 3 . 389.46 |=================================================================== 4 . 387.67 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 114.04 |=================================================================== 2 . 113.60 |=================================================================== 3 . 113.76 |=================================================================== 4 . 113.06 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 377.05 |================================================================== 2 . 380.19 |=================================================================== 3 . 377.96 |=================================================================== 4 . 375.22 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 86.94 |==================================================================== 2 . 86.69 |==================================================================== 3 . 86.95 |==================================================================== 4 . 86.80 |==================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.423 |==================================================================== 2 . 0.421 |==================================================================== 3 . 0.423 |==================================================================== 4 . 0.424 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.215 |=================================================================== 2 . 1.228 |==================================================================== 3 . 1.218 |=================================================================== 4 . 1.206 |=================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.605 |==================================================================== 2 . 1.610 |==================================================================== 3 . 1.608 |==================================================================== 4 . 1.596 |=================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 3.547 |==================================================================== 2 . 3.571 |==================================================================== 3 . 3.556 |==================================================================== 4 . 3.545 |==================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 239.18 |=================================================================== 2 . 237.70 |=================================================================== 3 . 237.38 |================================================================== 4 . 237.64 |=================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 671.28 |=================================================================== 2 . 673.69 |=================================================================== 3 . 669.98 |=================================================================== 4 . 671.26 |=================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 4.634 |=================================================================== 2 . 4.680 |==================================================================== 3 . 4.633 |=================================================================== 4 . 4.659 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 24.59 |==================================================================== 2 . 24.70 |==================================================================== 3 . 24.67 |==================================================================== 4 . 24.64 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 2.810 |==================================================================== 2 . 2.822 |==================================================================== 3 . 2.818 |==================================================================== 4 . 2.828 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 3.484 |==================================================================== 2 . 3.452 |=================================================================== 3 . 3.474 |==================================================================== 4 . 3.483 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 33.27 |=================================================================== 2 . 33.73 |==================================================================== 3 . 33.31 |=================================================================== 4 . 33.28 |=================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 262.48 |=================================================================== 2 . 262.64 |=================================================================== 3 . 261.32 |=================================================================== 4 . 261.88 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 244.68 |=================================================================== 2 . 244.49 |=================================================================== 3 . 244.61 |=================================================================== 4 . 245.86 |=================================================================== ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 277 |====================================================================== 2 . 276 |====================================================================== 3 . 277 |====================================================================== 4 . 276 |====================================================================== ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 457 |====================================================================== 2 . 456 |====================================================================== 3 . 456 |====================================================================== 4 . 456 |====================================================================== ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 44 |======================================================================= 2 . 44 |======================================================================= 3 . 44 |======================================================================= 4 . 43 |===================================================================== ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 16973 |==================================================================== 2 . 16949 |==================================================================== 3 . 16953 |==================================================================== 4 . 16955 |==================================================================== ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 3309 |===================================================================== 2 . 3307 |===================================================================== 3 . 3328 |===================================================================== 4 . 3321 |===================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 60249083 |================================================================= 2 . 59623597 |================================================================ 3 . 58866747 |================================================================ 4 . 57513777 |==============================================================