2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on CentOS Stream 9 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 2208133-NE-MNNNCNNXE63
mnn ncnn xeon
2 x Intel Xeon Platinum 8380 testing with a Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS) and ASPEED on CentOS Stream 9 via the Phoronix Test Suite.
,,"A","B","C","D","E"
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),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),Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS)
Chipset,,Intel Device 0998,Intel Device 0998,Intel Device 0998,Intel Device 0998,Intel Device 0998
Memory,,512GB,512GB,512GB,512GB,512GB
Disk,,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ,7682GB INTEL SSDPF2KX076TZ
Graphics,,ASPEED,ASPEED,ASPEED,ASPEED,ASPEED
Monitor,,VE228,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,2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS,,CentOS Stream 9,CentOS Stream 9,CentOS Stream 9,CentOS Stream 9,CentOS Stream 9
Kernel,,5.14.0-142.el9.x86_64 (x86_64),5.14.0-142.el9.x86_64 (x86_64),5.14.0-142.el9.x86_64 (x86_64),5.14.0-142.el9.x86_64 (x86_64),5.14.0-142.el9.x86_64 (x86_64)
Desktop,,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10,GNOME Shell 40.10
Display Server,,X Server,X Server,X Server,X Server,X Server
Compiler,,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421,GCC 11.3.1 20220421
File-System,,xfs,xfs,xfs,xfs,xfs
Screen Resolution,,1920x1080,1920x1080,1920x1080,1920x1080,1920x1080
,,"A","B","C","D","E"
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,20.690,20.812,20.853,20.829,21.346
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,2.228,2.198,2.167,2.211,2.217
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,3.415,3.151,3.217,3.229,3.136
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,4.121,4.213,4.295,4.219,4.321
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,8.782,9.081,8.766,8.886,9.199
"Mobile Neural Network - Model: squeezenetv1.1 (ms)",LIB,2.317,2.395,2.425,2.447,2.520
"Mobile Neural Network - Model: mobilenetV3 (ms)",LIB,1.807,1.837,1.823,1.865,1.865
"NCNN - Target: CPU - Model: FastestDet (ms)",LIB,15.33,14.98,15.56,14.92,14.93
"NCNN - Target: CPU - Model: vision_transformer (ms)",LIB,151.78,152.63,152.79,155.31,155.90
"NCNN - Target: CPU - Model: regnety_400m (ms)",LIB,57.14,57.76,57.92,56.90,58.68
"NCNN - Target: CPU - Model: squeezenet_ssd (ms)",LIB,26.34,26.36,27.17,26.66,25.96
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,27.80,27.25,27.28,27.38,26.74
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,24.75,24.49,25.14,25.27,24.34
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,8.89,8.51,8.53,9.12,8.62
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,13.37,13.18,13.51,13.87,13.20
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,30.91,29.05,29.63,31.20,28.68
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,23.74,22.53,23.11,23.52,22.64
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,7.15,7.34,7.28,7.06,7.23
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,16.89,16.67,17.75,16.54,16.50
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,11.92,12.05,11.91,11.74,11.79
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,13.47,13.72,13.47,13.45,13.63
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,12.03,12.21,12.25,12.12,12.21
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,12.99,12.81,12.79,12.81,13.31
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,21.91,21.68,22.35,22.85,21.85