AMD EPYC 7601 2P 2021 2 x AMD EPYC 7601 32-Core testing with a Dell 02MJ3T (1.2.5 BIOS) and llvmpipe on Ubuntu 19.10 via the Phoronix Test Suite. 1: Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 504GB, Disk: 280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1600x1200 2: Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 504GB, Disk: 280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1600x1200 3: Processor: 2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads), Motherboard: Dell 02MJ3T (1.2.5 BIOS), Chipset: AMD 17h, Memory: 504GB, Disk: 280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc6daily20200922-generic (x86_64) 20200921, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 3.3 Mesa 19.2.8 (LLVM 9.0 128 bits), Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1600x1200 Etcpak 0.7 Configuration: DXT1 Mpx/s > Higher Is Better 1 . 1296.79 |================================================================= 2 . 1323.80 |================================================================== 3 . 1322.34 |================================================================== Etcpak 0.7 Configuration: ETC1 Mpx/s > Higher Is Better 1 . 184.75 |=================================================================== 2 . 184.69 |=================================================================== 3 . 184.76 |=================================================================== Etcpak 0.7 Configuration: ETC2 Mpx/s > Higher Is Better 1 . 118.05 |=================================================================== 2 . 118.05 |=================================================================== 3 . 118.07 |=================================================================== Etcpak 0.7 Configuration: ETC1 + Dithering Mpx/s > Higher Is Better 1 . 174.28 |=================================================================== 2 . 174.30 |=================================================================== 3 . 174.17 |=================================================================== CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 29.54 |=================================================================== 2 . 29.24 |=================================================================== 3 . 29.87 |==================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 709699800 |================================================================ 2 . 709739033 |================================================================ 3 . 708880233 |================================================================ QMCPACK 3.10 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better 1 . 41.84 |======================================================== 2 . 46.25 |============================================================== 3 . 50.66 |==================================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 34.62 |=================================================================== 2 . 34.23 |================================================================== 3 . 35.32 |==================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 338.71 |=================================================================== 2 . 338.37 |=================================================================== 3 . 340.04 |=================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 1796.32 |================================================================== 2 . 1754.21 |================================================================ 3 . 1808.78 |================================================================== RELION 3.1.1 Test: Basic - Device: CPU Seconds < Lower Is Better 1 . 548.38 |=================================================================== 2 . 548.43 |=================================================================== 3 . 547.94 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 23.38 |==================================================================== 2 . 23.40 |==================================================================== 3 . 23.20 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 23.31 |==================================================================== 2 . 23.38 |==================================================================== 3 . 23.08 |=================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 16092.93 |================================================================= 2 . 16073.09 |================================================================= 3 . 15990.72 |================================================================= oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 2.90299 |================================================== 2 . 2.52500 |============================================ 3 . 3.81118 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 19.87 |================================================================ 2 . 19.22 |============================================================== 3 . 21.12 |==================================================================== oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.86741 |================================================================ 2 . 3.81910 |================================================================ 3 . 3.96369 |================================================================== oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 2.82028 |========================================= 2 . 2.67884 |======================================= 3 . 4.50130 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 17.72 |=========================================================== 2 . 16.49 |======================================================= 3 . 20.45 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.54557 |============================================================== 2 . 3.42396 |============================================================ 3 . 3.76272 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 6.45462 |============================================================ 2 . 6.56237 |============================================================= 3 . 7.09130 |================================================================== oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 23.24 |=============================================================== 2 . 22.74 |============================================================= 3 . 25.16 |==================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.54912 |=============================================================== 2 . 3.49511 |============================================================== 3 . 3.71634 |================================================================== oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3.16880 |================================================================== 2 . 3.18118 |================================================================== 3 . 3.18392 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 4554.32 |============================================================ 2 . 4515.79 |=========================================================== 3 . 5020.04 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3940.07 |================================================================ 2 . 3865.58 |=============================================================== 3 . 4050.37 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 4466.50 |=============================================================== 2 . 4580.21 |================================================================= 3 . 4661.89 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 3557.56 |======================================================== 2 . 3580.43 |======================================================== 3 . 4199.67 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 0.919909 |======================= 2 . 0.902805 |======================= 3 . 2.603660 |================================================================= oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 4707.16 |================================================================ 2 . 4615.36 |============================================================== 3 . 4885.17 |================================================================== oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 3698.78 |=========================================================== 2 . 3877.71 |============================================================== 3 . 4137.52 |================================================================== oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.37881 |================================================================= 2 . 1.38889 |================================================================= 3 . 1.40554 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 637.03 |================================================================= 2 . 659.19 |=================================================================== 3 . 634.77 |================================================================= dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 243.31 |================================================================= 2 . 251.57 |=================================================================== 3 . 248.58 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 629.60 |=============================================================== 2 . 669.24 |=================================================================== 3 . 634.70 |================================================================ dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 138.45 |=================================================================== 2 . 138.90 |=================================================================== 3 . 139.13 |=================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.258 |=================================================================== 2 . 0.262 |==================================================================== 3 . 0.261 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 0.780 |==================================================================== 2 . 0.778 |==================================================================== 3 . 0.775 |==================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.016 |=================================================================== 2 . 1.031 |==================================================================== 3 . 1.030 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 2.322 |=================================================================== 2 . 2.370 |==================================================================== 3 . 2.336 |=================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 107.10 |=================================================================== 2 . 104.00 |================================================================= 3 . 103.91 |================================================================= Monkey Audio Encoding 3.99.6 WAV To APE Seconds < Lower Is Better 1 . 18.34 |==================================================================== 2 . 18.32 |==================================================================== 3 . 18.34 |==================================================================== Ogg Audio Encoding 1.3.4 WAV To Ogg Seconds < Lower Is Better 1 . 26.60 |==================================================================== 2 . 26.63 |==================================================================== 3 . 26.67 |==================================================================== Opus Codec Encoding 1.3.1 WAV To Opus Encode Seconds < Lower Is Better 1 . 10.21 |==================================================================== 2 . 10.21 |==================================================================== 3 . 10.24 |==================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 512.11 |=================================================================== 2 . 512.07 |=================================================================== 3 . 512.07 |=================================================================== Cryptsetup PBKDF2-sha512 Iterations Per Second > Higher Is Better 1 . 1170727 |================================================================== 2 . 1157453 |================================================================= 3 . 1168547 |================================================================== Cryptsetup PBKDF2-whirlpool Iterations Per Second > Higher Is Better 1 . 510008 |=================================================================== 2 . 507751 |=================================================================== 3 . 506073 |================================================================== Cryptsetup AES-XTS 256b Encryption MiB/s > Higher Is Better 1 . 1444.3 |================================================================== 2 . 1456.9 |=================================================================== 3 . 1454.5 |=================================================================== Cryptsetup AES-XTS 256b Decryption MiB/s > Higher Is Better 1 . 1445.4 |=================================================================== 2 . 1442.6 |=================================================================== 3 . 1453.1 |=================================================================== Cryptsetup Serpent-XTS 256b Encryption MiB/s > Higher Is Better 1 . 308.1 |==================================================================== 2 . 308.4 |==================================================================== 3 . 308.9 |==================================================================== Cryptsetup Serpent-XTS 256b Decryption MiB/s > Higher Is Better 1 . 306.7 |==================================================================== 2 . 307.0 |==================================================================== 3 . 307.1 |==================================================================== Cryptsetup Twofish-XTS 256b Encryption MiB/s > Higher Is Better 1 . 317.4 |==================================================================== 2 . 318.3 |==================================================================== 3 . 318.3 |==================================================================== Cryptsetup Twofish-XTS 256b Decryption MiB/s > Higher Is Better 1 . 316.5 |==================================================================== 2 . 316.8 |==================================================================== 3 . 316.9 |==================================================================== Cryptsetup AES-XTS 512b Encryption MiB/s > Higher Is Better 1 . 1279.4 |=================================================================== 2 . 1286.7 |=================================================================== 3 . 1285.4 |=================================================================== Cryptsetup AES-XTS 512b Decryption MiB/s > Higher Is Better 1 . 1276.7 |=================================================================== 2 . 1285.0 |=================================================================== 3 . 1284.3 |=================================================================== Cryptsetup Serpent-XTS 512b Encryption MiB/s > Higher Is Better 1 . 308.6 |==================================================================== 2 . 308.8 |==================================================================== 3 . 309.0 |==================================================================== Cryptsetup Serpent-XTS 512b Decryption MiB/s > Higher Is Better 1 . 306.7 |==================================================================== 2 . 306.9 |==================================================================== 3 . 307.0 |==================================================================== Cryptsetup Twofish-XTS 512b Encryption MiB/s > Higher Is Better 1 . 317.7 |==================================================================== 2 . 318.1 |==================================================================== 3 . 318.0 |==================================================================== Cryptsetup Twofish-XTS 512b Decryption MiB/s > Higher Is Better 1 . 316.0 |==================================================================== 2 . 316.6 |==================================================================== 3 . 316.7 |==================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 14.96 |==================================================================== 2 . 14.81 |=================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 54.12 |==================================================================== 2 . 52.86 |================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 10.74 |=================================================================== 2 . 10.91 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 6.761 |================================================================== 2 . 7.012 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 68.59 |================================================================= 2 . 71.58 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 369.11 |=================================================================== 2 . 369.67 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 333.40 |=================================================================== 2 . 333.27 |=================================================================== ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 76 |======================================================================= 2 . 71 |================================================================== ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 58 |======================================================================= 2 . 54 |================================================================== ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 53 |======================================================================= 2 . 52 |====================================================================== ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 2188 |================================================================= 2 . 2318 |===================================================================== ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 2084 |===================================================================== 2 . 2078 |===================================================================== WavPack Audio Encoding 5.3 WAV To WavPack Seconds < Lower Is Better 1 . 17.30 |==================================================================== 2 . 17.29 |==================================================================== Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz Seconds < Lower Is Better 1 . 25.91 |==================================================================== 2 . 25.75 |==================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 37882537 |================================================================= 2 . 35226890 |============================================================