3700X 2021 new AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: Gigabyte A320M-S2H-CF (F52a BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 240GB TOSHIBA RC100, Graphics: HIS AMD Radeon HD 7750/8740 / R7 250E 1GB, Audio: AMD Oland/Hainan/Cape, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: Gigabyte A320M-S2H-CF (F52a BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 240GB TOSHIBA RC100, Graphics: HIS AMD Radeon HD 7750/8740 / R7 250E 1GB, Audio: AMD Oland/Hainan/Cape, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: Gigabyte A320M-S2H-CF (F52a BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 240GB TOSHIBA RC100, Graphics: HIS AMD Radeon HD 7750/8740 / R7 250E 1GB, Audio: AMD Oland/Hainan/Cape, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads), Motherboard: Gigabyte A320M-S2H-CF (F52a BIOS), Chipset: AMD Starship/Matisse, Memory: 8GB, Disk: 240GB TOSHIBA RC100, Graphics: HIS AMD Radeon HD 7750/8740 / R7 250E 1GB, Audio: AMD Oland/Hainan/Cape, Monitor: VA2431, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.8.1-050801-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 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 . 187.04 |================================================================== 2 . 187.27 |================================================================== 3 . 188.89 |================================================================== 4 . 190.68 |=================================================================== CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1016.65 |================================================================== 3 . 1016.68 |================================================================== 4 . 1017.38 |================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 193941133 |=============================================================== 2 . 196942800 |================================================================ 3 . 196063733 |================================================================ 4 . 196118000 |================================================================ OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 255.66 |=================================================================== 2 . 253.35 |================================================================== 3 . 254.28 |=================================================================== 4 . 254.91 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 5.885 |================================================================ 2 . 5.746 |=============================================================== 3 . 5.912 |================================================================ 4 . 6.240 |==================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 520.95 |=================================================================== 2 . 520.47 |=================================================================== 3 . 518.08 |=================================================================== 4 . 518.25 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 168.63 |=================================================================== 2 . 168.26 |=================================================================== 3 . 168.56 |=================================================================== 4 . 168.26 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 463.78 |=================================================================== 2 . 462.65 |=================================================================== 3 . 465.82 |=================================================================== 4 . 465.67 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 103.98 |=================================================================== 2 . 103.51 |=================================================================== 3 . 103.47 |=================================================================== 4 . 103.94 |=================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.431 |==================================================================== 2 . 0.431 |==================================================================== 3 . 0.421 |================================================================== 4 . 0.431 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.243 |==================================================================== 2 . 1.249 |==================================================================== 3 . 1.222 |=================================================================== 4 . 1.246 |==================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.651 |==================================================================== 2 . 1.647 |==================================================================== 3 . 1.636 |=================================================================== 4 . 1.657 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 3.518 |=================================================================== 2 . 3.552 |==================================================================== 3 . 3.518 |=================================================================== 4 . 3.526 |==================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 137.53 |=================================================================== 2 . 137.98 |=================================================================== 3 . 138.12 |=================================================================== 4 . 138.11 |=================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 6.608 |================================================================== 2 . 6.778 |==================================================================== 3 . 6.676 |=================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 27.39 |================================================================== 2 . 27.96 |==================================================================== 3 . 28.02 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.854 |=================================================================== 2 . 3.890 |==================================================================== 3 . 3.828 |=================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 3.335 |==================================================================== 2 . 3.341 |==================================================================== 3 . 3.314 |=================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 33.03 |================================================================== 2 . 34.24 |==================================================================== 3 . 33.91 |=================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 268.66 |=================================================================== 2 . 266.94 |=================================================================== 3 . 264.85 |================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 250.23 |=================================================================== 2 . 249.05 |=================================================================== 3 . 247.81 |================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 55382297 |================================================================= 2 . 55004223 |================================================================= 3 . 53902810 |===============================================================