Tests for a future article. 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-AMDEPYC7619
AMD EPYC 7601 2P 2021
Tests for a future article. 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
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 |====================================================================
Monkey Audio Encoding 3.99.6
WAV To APE
Seconds < Lower Is Better
1 . 18.34 |====================================================================
2 . 18.32 |====================================================================
3 . 18.34 |====================================================================
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 |====================================================================
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 |===================================================================
Ogg Audio Encoding 1.3.4
WAV To Ogg
Seconds < Lower Is Better
1 . 26.60 |====================================================================
2 . 26.63 |====================================================================
3 . 26.67 |====================================================================
Google SynthMark 20201109
Test: VoiceMark_100
Voices > Higher Is Better
1 . 512.11 |===================================================================
2 . 512.07 |===================================================================
3 . 512.07 |===================================================================
RELION 3.1.1
Test: Basic - Device: CPU
Seconds < Lower Is Better
1 . 548.38 |===================================================================
2 . 548.43 |===================================================================
3 . 547.94 |===================================================================
CloverLeaf
Lagrangian-Eulerian Hydrodynamics
Seconds < Lower Is Better
1 . 29.54 |===================================================================
2 . 29.24 |===================================================================
3 . 29.87 |====================================================================
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 |====================================================================
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 |=====================================================================
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 |===================================================================
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 |===================================================================
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 |==================================================================
Algebraic Multi-Grid Benchmark 1.2
Figure Of Merit > Higher Is Better
1 . 709699800 |================================================================
2 . 709739033 |================================================================
3 . 708880233 |================================================================
Kripke 1.2.4
Throughput FoM > Higher Is Better
1 . 37882537 |=================================================================
2 . 35226890 |============================================================
Unpacking Firefox 84.0
Extracting: firefox-84.0.source.tar.xz
Seconds < Lower Is Better
1 . 25.91 |====================================================================
2 . 25.75 |====================================================================
LULESH 2.0.3
z/s > Higher Is Better
1 . 16092.93 |=================================================================
2 . 16073.09 |=================================================================
3 . 15990.72 |=================================================================
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 |===================================================================
QMCPACK 3.10
Input: simple-H2O
Total Execution Time - Seconds < Lower Is Better
1 . 41.84 |========================================================
2 . 46.25 |==============================================================
3 . 50.66 |====================================================================
Quantum ESPRESSO 6.7
Input: AUSURF112
Seconds < Lower Is Better
1 . 1796.32 |==================================================================
2 . 1754.21 |================================================================
3 . 1808.78 |==================================================================
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 |=================================================================