EPYC 7742 2P Sat 2 x AMD EPYC 7742 64-Core testing with a AMD DAYTONA_X (RDY1006G BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1006G BIOS), Chipset: AMD Starship/Matisse, Memory: 504GB, Disk: 2 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 5.11.0-rc2-phx (x86_64) 20210108, 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 10.0.0 128 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1006G BIOS), Chipset: AMD Starship/Matisse, Memory: 504GB, Disk: 2 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 5.11.0-rc2-phx (x86_64) 20210108, 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 10.0.0 128 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1006G BIOS), Chipset: AMD Starship/Matisse, Memory: 504GB, Disk: 2 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 5.11.0-rc2-phx (x86_64) 20210108, 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 10.0.0 128 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 4: Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1006G BIOS), Chipset: AMD Starship/Matisse, Memory: 504GB, Disk: 2 x 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 5.11.0-rc2-phx (x86_64) 20210108, 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 10.0.0 128 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 20.23 |============================================================== 2 . 20.28 |============================================================== 3 . 22.32 |==================================================================== 4 . 21.48 |================================================================= Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 1759042333 |=============================================================== 2 . 1758443000 |=============================================================== 3 . 1749173667 |=============================================================== 4 . 1754829000 |=============================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 121.90 |=================================================================== 2 . 121.35 |=================================================================== 3 . 122.05 |=================================================================== 4 . 121.98 |=================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 207.28 |============================================================= 2 . 207.41 |============================================================= 3 . 210.01 |============================================================== 4 . 228.09 |=================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 1178.72 |================================================================= 2 . 1188.96 |================================================================== 3 . 1179.52 |================================================================= 4 . 1172.63 |================================================================= LULESH 2.0.3 z/s > Higher Is Better 1 . 26472.62 |============================================================= 2 . 27606.66 |================================================================ 3 . 28049.65 |================================================================= 4 . 27974.12 |================================================================= dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 903.30 |=================================================================== 2 . 896.87 |================================================================== 3 . 904.37 |=================================================================== 4 . 908.59 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 422.14 |=================================================================== 2 . 423.77 |=================================================================== 3 . 417.09 |================================================================== 4 . 420.65 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 961.34 |================================================================== 2 . 952.52 |================================================================= 3 . 980.01 |=================================================================== 4 . 980.69 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 185.95 |=================================================================== 2 . 186.43 |=================================================================== 3 . 186.82 |=================================================================== 4 . 186.79 |=================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.342 |==================================================================== 3 . 0.343 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 0.980 |==================================================================== 3 . 0.984 |==================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.294 |==================================================================== 3 . 1.300 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 2.698 |==================================================================== 3 . 2.701 |==================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 67.11 |==================================================================== 2 . 67.01 |==================================================================== 3 . 67.40 |==================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 559.97 |=================================================================== 3 . 560.42 |=================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 9.878 |================================================================= 3 . 10.225 |=================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 31.80 |============================================================== 3 . 34.63 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 5.334 |==================================================================== 3 . 5.297 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.005 |==================================================================== 3 . 4.034 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 37.78 |==================================================================== 3 . 37.94 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 345.25 |================================================================== 3 . 348.23 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 304.39 |=================================================================== 3 . 303.95 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 66433871 |============================================================= 3 . 71128494 |=================================================================