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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2101214-HA-AMDEPYC7645
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Audio Encoding 4 Tests
AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C++ Boost Tests 2 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 10 Tests
Encoding 6 Tests
Fortran Tests 3 Tests
Game Development 2 Tests
HPC - High Performance Computing 13 Tests
LAPACK (Linear Algebra Pack) Tests 2 Tests
Machine Learning 4 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 2 Tests
Multi-Core 5 Tests
OpenMPI Tests 8 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 2 Tests
Scientific Computing 8 Tests
Server CPU Tests 2 Tests
Video Encoding 2 Tests

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January 19 2021
  11 Hours, 17 Minutes
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January 20 2021
  9 Hours, 38 Minutes
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January 20 2021
  9 Hours, 36 Minutes
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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 Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 709699800 |================================================================ 2 . 709739033 |================================================================ 3 . 708880233 |================================================================ 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 |=================================================================== 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 |===================================================================== 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 |==================================================================== 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 |=================================================================== 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 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 37882537 |================================================================= 2 . 35226890 |============================================================ Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 512.11 |=================================================================== 2 . 512.07 |=================================================================== 3 . 512.07 |=================================================================== 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 |================================================================== 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 |=================================================================== CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 29.54 |=================================================================== 2 . 29.24 |=================================================================== 3 . 29.87 |==================================================================== 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 |=================================================================== 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 |==================================================================== 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 |==================================================================== QMCPACK 3.10 Input: simple-H2O Total Execution Time - Seconds < Lower Is Better 1 . 41.84 |======================================================== 2 . 46.25 |============================================================== 3 . 50.66 |====================================================================