2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 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 2209058-NE-XEON8380230
xeon 8380 2P
2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on Ubuntu 22.10 via the Phoronix Test Suite.
,,"A","B","C","D"
Processor,,2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads),2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads)
Motherboard,,Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)
Chipset,,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH,Intel Ice Lake IEH
Memory,,512GB,512GB,512GB,512GB
Disk,,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ
Graphics,,ASPEED,ASPEED,ASPEED,ASPEED
Monitor,,VE228,VE228,VE228,VE228
Network,,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS,,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10,Ubuntu 22.10
Kernel,,5.19.0-15-generic (x86_64),5.19.0-15-generic (x86_64),5.19.0-15-generic (x86_64),5.19.0-15-generic (x86_64)
Desktop,,GNOME Shell,GNOME Shell,GNOME Shell,GNOME Shell
Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3
Vulkan,,1.3.211,1.3.211,1.3.211,1.3.211
Compiler,,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0,GCC 12.2.0
File-System,,ext4,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080
,,"A","B","C","D"
"7-Zip Compression - Test: Compression Rating (MIPS)",HIB,341336,340384,340658,337572
"7-Zip Compression - Test: Decompression Rating (MIPS)",HIB,357733,347845,350969,338639
"Timed Node.js Compilation - Time To Compile (sec)",LIB,183.569,185.516,184.913,189.027
"Timed PHP Compilation - Time To Compile (sec)",LIB,54.265,54.714,54.473,54.211
"Timed CPython Compilation - Build Configuration: Default (sec)",LIB,23.647,23.67,23.758,22.961
"Timed CPython Compilation - Build Configuration: Released Build, PGO + LTO Optimized (sec)",LIB,327.427,329.055,329.899,330.258
"Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,138.3,137.842,138.828,138.865
"Timed Wasmer Compilation - Time To Compile (sec)",LIB,57.445,58.093,57.173,58.793
"Mobile Neural Network - Model: nasnet (ms)",LIB,11.677,12.373,13.403,13.023
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.685,1.705,1.889,1.823
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.114,2.451,2.628,2.534
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,8.119,8.805,8.654,8.606
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,3.641,3.782,4.417,4.237
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,2.615,2.735,3.197,3.044
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,1.878,2.269,2.268,2.204
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,20.247,20.571,21.146,20.945
"OpenVINO - Model: Face Detection FP16 - Device: CPU (FPS)",HIB,24.36,24.45,24.35,24.36
"OpenVINO - Model: Face Detection FP16 - Device: CPU (ms)",LIB,816.29,814.05,816.86,816.87
"OpenVINO - Model: Person Detection FP16 - Device: CPU (FPS)",HIB,13.12,13.13,13.09,13.07
"OpenVINO - Model: Person Detection FP16 - Device: CPU (ms)",LIB,1507.12,1510.95,1511.26,1515.02
"OpenVINO - Model: Person Detection FP32 - Device: CPU (FPS)",HIB,12.9,12.91,12.81,12.91
"OpenVINO - Model: Person Detection FP32 - Device: CPU (ms)",LIB,1533.51,1534.43,1543.62,1531.79
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (FPS)",HIB,1122.33,1123.63,1121.31,1124.79
"OpenVINO - Model: Vehicle Detection FP16 - Device: CPU (ms)",LIB,17.78,17.76,17.8,17.74
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (FPS)",HIB,82.84,83.18,82.93,83.05
"OpenVINO - Model: Face Detection FP16-INT8 - Device: CPU (ms)",LIB,241.03,240.12,240.81,240.51
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (FPS)",HIB,4399.55,4407.61,4408.17,4401.74
"OpenVINO - Model: Vehicle Detection FP16-INT8 - Device: CPU (ms)",LIB,4.53,4.53,4.52,4.53
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (FPS)",HIB,2448.4,2443.95,2442.14,2441.15
"OpenVINO - Model: Weld Porosity Detection FP16 - Device: CPU (ms)",LIB,32.41,32.49,32.52,32.51
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (FPS)",HIB,230.96,232.03,229.5,227.42
"OpenVINO - Model: Machine Translation EN To DE FP16 - Device: CPU (ms)",LIB,86.36,85.92,86.92,87.69
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (FPS)",HIB,9683.64,9694.57,9685.17,9677.29
"OpenVINO - Model: Weld Porosity Detection FP16-INT8 - Device: CPU (ms)",LIB,8.25,8.24,8.25,8.25
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (FPS)",HIB,2019.08,2023.27,2017.86,2020.4
"OpenVINO - Model: Person Vehicle Bike Detection FP16 - Device: CPU (ms)",LIB,9.88,9.85,9.88,9.87
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (FPS)",HIB,48360.89,46527.42,48351.01,47659.47
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU (ms)",LIB,1.32,1.4,1.35,1.37
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (FPS)",HIB,44836.53,34045.71,33880.47,38908.73
"OpenVINO - Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU (ms)",LIB,1.42,1.74,1.81,1.6
"Natron - Input: Spaceship (FPS)",HIB,1.5,1.5,1.5,1.4