2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 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 2212200-NE-XEONRGOLD29
xeon r gold onednn 3.0
2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.
,,"a","b","c"
Processor,,2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads),2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads),2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads)
Motherboard,,TYAN S7106 (V2.01.B40 BIOS),TYAN S7106 (V2.01.B40 BIOS),TYAN S7106 (V2.01.B40 BIOS)
Chipset,,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers,Intel Sky Lake-E DMI3 Registers
Memory,,94GB,94GB,94GB
Disk,,500GB Samsung SSD 860,500GB Samsung SSD 860,500GB Samsung SSD 860
Graphics,,ASPEED,ASPEED,ASPEED
Monitor,,VE228,VE228,VE228
Network,,2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE,2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE,2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,6.1.0-phx (x86_64),6.1.0-phx (x86_64),6.1.0-phx (x86_64)
Desktop,,GNOME Shell 3.36.9,GNOME Shell 3.36.9,GNOME Shell 3.36.9
Display Server,,X Server 1.20.13,X Server 1.20.13,X Server 1.20.13
Compiler,,GCC 9.4.0,GCC 9.4.0,GCC 9.4.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"a","b","c"
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.75250,1.74919,1.76469
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.81228,3.77586,3.94714
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.73090,1.67674,1.80903
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.29656,1.27572,1.26769
"oneDNN - Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,5.78540,5.80604,5.97953
"oneDNN - Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,3.11322,3.0436,3.06163
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,7.59329,7.58018,7.51633
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,8.14539,7.93565,8.11243
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,2.76971,2.76176,2.75773
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,7.07070,7.10229,7.04447
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.583986,0.581283,0.576626
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.696550,0.693376,0.695969
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1400.64,1397.35,1397.94
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,800.124,799.425,797.837
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1409.74,1392.36,1401.03
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,6.41676,6.42421,6.43035
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.21597,9.06402,9.14855
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,9.59277,9.61333,9.86147
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,796.627,805.569,798.111
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.517990,0.510599,0.507931
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1400.41,1399,1404.71
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,802.635,802.953,811.321
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.215615,0.221767,0.219184
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2.34752,2.41696,2.35576