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
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","2","3"
Processor,,2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads),2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads),2 x AMD EPYC 7601 32-Core (64 Cores / 128 Threads)
Motherboard,,Dell 02MJ3T (1.2.5 BIOS),Dell 02MJ3T (1.2.5 BIOS),Dell 02MJ3T (1.2.5 BIOS)
Chipset,,AMD 17h,AMD 17h,AMD 17h
Memory,,504GB,504GB,504GB
Disk,,280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R,280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R,280GB INTEL SSDPED1D280GA + 12 x 500GB Samsung SSD 860 + 120GB INTEL SSDSCKJB120G7R
Graphics,,llvmpipe,llvmpipe,llvmpipe
Monitor,,VE228,VE228,VE228
Network,,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe,2 x Broadcom BCM57416 NetXtreme-E Dual-Media 10G RDMA + 2 x Broadcom NetXtreme BCM5720 2-port PCIe
OS,,Ubuntu 19.10,Ubuntu 19.10,Ubuntu 19.10
Kernel,,5.9.0-050900rc6daily20200922-generic (x86_64) 20200921,5.9.0-050900rc6daily20200922-generic (x86_64) 20200921,5.9.0-050900rc6daily20200922-generic (x86_64) 20200921
Desktop,,GNOME Shell 3.34.1,GNOME Shell 3.34.1,GNOME Shell 3.34.1
Display Server,,X Server 1.20.5,X Server 1.20.5,X Server 1.20.5
Display Driver,,modesetting 1.20.5,modesetting 1.20.5,modesetting 1.20.5
OpenGL,,3.3 Mesa 19.2.8 (LLVM 9.0 128 bits),3.3 Mesa 19.2.8 (LLVM 9.0 128 bits),3.3 Mesa 19.2.8 (LLVM 9.0 128 bits)
Compiler,,GCC 9.2.1 20191008,GCC 9.2.1 20191008,GCC 9.2.1 20191008
File-System,,ext4,ext4,ext4
Screen Resolution,,1600x1200,1600x1200,1600x1200
,,"1","2","3"
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.919909,0.902805,2.60366
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.82028,2.67884,4.50130
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,2.90299,2.52500,3.81118
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,17.7153,16.4879,20.4528
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,23.2410,22.7404,25.1595
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,3.54557,3.42396,3.76272
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,19.8661,19.2173,21.1172
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.54912,3.49511,3.71634
"dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,629.60,669.24,634.70
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,68.585,71.575,
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,637.03,659.19,634.77
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.86741,3.81910,3.96369
"OpenFOAM - Input: Motorbike 30M (sec)",LIB,34.62,34.23,35.32
"Quantum ESPRESSO - Input: AUSURF112 (sec)",LIB,1796.32,1754.21,1808.78
"Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,107.098,104.004,103.914
"Etcpak - Configuration: DXT1 (Mpx/s)",HIB,1296.787,1323.798,1322.339
"rav1e - Speed: 10 (FPS)",HIB,2.322,2.370,2.336
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.37881,1.38889,1.40554
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,10.741,10.909,
"rav1e - Speed: 1 (FPS)",HIB,0.258,0.262,0.261
"rav1e - Speed: 6 (FPS)",HIB,1.016,1.031,1.030
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,23.311,23.382,23.083
"Cryptsetup - PBKDF2-sha512 (Iterations/sec)",HIB,1170727,1157453,1168547
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,14.955,14.812,
"Cryptsetup - AES-XTS 256b Encryption (MiB/s)",HIB,1444.3,1456.9,1454.5
"LAMMPS Molecular Dynamics Simulator - Model: 20k Atoms (ns/day)",HIB,23.382,23.399,23.201
"Cryptsetup - PBKDF2-whirlpool (Iterations/sec)",HIB,510008,507751,506073
"Cryptsetup - AES-XTS 256b Decryption (MiB/s)",HIB,1445.4,1442.6,1453.1
"Cryptsetup - AES-XTS 512b Decryption (MiB/s)",HIB,1276.7,1285.0,1284.3
"rav1e - Speed: 5 (FPS)",HIB,0.780,0.778,0.775
"LULESH - (z/s)",HIB,16092.925,16073.086,15990.720
"Unpacking Firefox - Extracting: firefox-84.0.source.tar.xz (sec)",LIB,25.907,25.754,
"Cryptsetup - AES-XTS 512b Encryption (MiB/s)",HIB,1279.4,1286.7,1285.4
"OpenFOAM - Input: Motorbike 60M (sec)",LIB,338.71,338.37,340.04
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,138.45,138.90,139.13
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3.16880,3.18118,3.18392
"Opus Codec Encoding - WAV To Opus Encode (sec)",LIB,10.213,10.207,10.238
"ONNX Runtime - Model: super-resolution-10 - Device: OpenMP CPU (Inferences/min)",HIB,2084,2078,
"Cryptsetup - Twofish-XTS 256b Encryption (MiB/s)",HIB,317.4,318.3,318.3
"Cryptsetup - Serpent-XTS 256b Encryption (MiB/s)",HIB,308.1,308.4,308.9
"Ogg Audio Encoding - WAV To Ogg (sec)",LIB,26.603,26.627,26.665
"Cryptsetup - Twofish-XTS 512b Decryption (MiB/s)",HIB,316.0,316.6,316.7
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,369.108,369.669,
"Cryptsetup - Serpent-XTS 256b Decryption (MiB/s)",HIB,306.7,307.0,307.1
"Cryptsetup - Serpent-XTS 512b Encryption (MiB/s)",HIB,308.6,308.8,309
"Cryptsetup - Twofish-XTS 256b Decryption (MiB/s)",HIB,316.5,316.8,316.9
"Cryptsetup - Twofish-XTS 512b Encryption (MiB/s)",HIB,317.7,318.1,318.0
"Algebraic Multi-Grid Benchmark - (Figure Of Merit)",HIB,709699800,709739033,708880233
"Monkey Audio Encoding - WAV To APE (sec)",LIB,18.344,18.322,18.336
"Cryptsetup - Serpent-XTS 512b Decryption (MiB/s)",HIB,306.7,306.9,307
"RELION - Test: Basic - Device: CPU (sec)",LIB,548.379,548.427,547.939
"Etcpak - Configuration: ETC1 + Dithering (Mpx/s)",HIB,174.283,174.300,174.166
"WavPack Audio Encoding - WAV To WavPack (sec)",LIB,17.296,17.285,
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,333.403,333.272,
"Etcpak - Configuration: ETC1 (Mpx/s)",HIB,184.747,184.690,184.757
"Etcpak - Configuration: ETC2 (Mpx/s)",HIB,118.049,118.049,118.070
"Google SynthMark - Test: VoiceMark_100 (Voices)",HIB,512.107,512.072,512.073
"Kripke - (Throughput FoM)",HIB,37882537,35226890,
"ONNX Runtime - Model: shufflenet-v2-10 - Device: OpenMP CPU (Inferences/min)",HIB,2188,2318,
"ONNX Runtime - Model: fcn-resnet101-11 - Device: OpenMP CPU (Inferences/min)",HIB,53,52,
"ONNX Runtime - Model: bertsquad-10 - Device: OpenMP CPU (Inferences/min)",HIB,58,54,
"ONNX Runtime - Model: yolov4 - Device: OpenMP CPU (Inferences/min)",HIB,76,71,
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,6.761,7.012,
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,54.121,52.860,
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,243.31,251.57,248.58
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3698.78,3877.71,4137.52
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,4707.16,4615.36,4885.17
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,3557.56,3580.43,4199.67
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4466.50,4580.21,4661.89
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,3940.07,3865.58,4050.37
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,4554.32,4515.79,5020.04
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,6.45462,6.56237,7.09130
"QMCPACK - Input: simple-H2O (Execution Time - sec)",LIB,41.839,46.249,50.655
"CloverLeaf - Lagrangian-Eulerian Hydrodynamics (sec)",LIB,29.54,29.24,29.87