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:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: CentOS Stream 9, Kernel: 5.14.0-142.el9.x86_64 (x86_64), Desktop: GNOME Shell 40.10, Display Server: X Server, Compiler: GCC 11.3.1 20220421, File-System: xfs, Screen Resolution: 1920x1080
B:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: CentOS Stream 9, Kernel: 5.14.0-142.el9.x86_64 (x86_64), Desktop: GNOME Shell 40.10, Display Server: X Server, Compiler: GCC 11.3.1 20220421, File-System: xfs, Screen Resolution: 1920x1080
C:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: CentOS Stream 9, Kernel: 5.14.0-142.el9.x86_64 (x86_64), Desktop: GNOME Shell 40.10, Display Server: X Server, Compiler: GCC 11.3.1 20220421, File-System: xfs, Screen Resolution: 1920x1080
D:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: CentOS Stream 9, Kernel: 5.14.0-142.el9.x86_64 (x86_64), Desktop: GNOME Shell 40.10, Display Server: X Server, Compiler: GCC 11.3.1 20220421, File-System: xfs, Screen Resolution: 1920x1080
E:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Device 0998, Memory: 512GB, Disk: 7682GB INTEL SSDPF2KX076TZ, Graphics: ASPEED, Monitor: VE228, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel E810-C for QSFP
OS: CentOS Stream 9, Kernel: 5.14.0-142.el9.x86_64 (x86_64), Desktop: GNOME Shell 40.10, Display Server: X Server, Compiler: GCC 11.3.1 20220421, File-System: xfs, Screen Resolution: 1920x1080
Mobile Neural Network 2.0
Model: mobilenetV3
ms < Lower Is Better
A . 1.807 |==================================================================
B . 1.837 |===================================================================
C . 1.823 |==================================================================
D . 1.865 |====================================================================
E . 1.865 |====================================================================
Mobile Neural Network 2.0
Model: squeezenetv1.1
ms < Lower Is Better
A . 2.317 |===============================================================
B . 2.395 |=================================================================
C . 2.425 |=================================================================
D . 2.447 |==================================================================
E . 2.520 |====================================================================
Mobile Neural Network 2.0
Model: resnet-v2-50
ms < Lower Is Better
A . 8.782 |=================================================================
B . 9.081 |===================================================================
C . 8.766 |=================================================================
D . 8.886 |==================================================================
E . 9.199 |====================================================================
Mobile Neural Network 2.0
Model: SqueezeNetV1.0
ms < Lower Is Better
A . 4.121 |=================================================================
B . 4.213 |==================================================================
C . 4.295 |====================================================================
D . 4.219 |==================================================================
E . 4.321 |====================================================================
Mobile Neural Network 2.0
Model: MobileNetV2_224
ms < Lower Is Better
A . 3.415 |====================================================================
B . 3.151 |===============================================================
C . 3.217 |================================================================
D . 3.229 |================================================================
E . 3.136 |==============================================================
Mobile Neural Network 2.0
Model: mobilenet-v1-1.0
ms < Lower Is Better
A . 2.228 |====================================================================
B . 2.198 |===================================================================
C . 2.167 |==================================================================
D . 2.211 |===================================================================
E . 2.217 |====================================================================
Mobile Neural Network 2.0
Model: inception-v3
ms < Lower Is Better
A . 20.69 |==================================================================
B . 20.81 |==================================================================
C . 20.85 |==================================================================
D . 20.83 |==================================================================
E . 21.35 |====================================================================
NCNN 20220729
Target: CPU - Model: mobilenet
ms < Lower Is Better
A . 21.91 |=================================================================
B . 21.68 |=================================================================
C . 22.35 |===================================================================
D . 22.85 |====================================================================
E . 21.85 |=================================================================
NCNN 20220729
Target: CPU-v2-v2 - Model: mobilenet-v2
ms < Lower Is Better
A . 12.99 |==================================================================
B . 12.81 |=================================================================
C . 12.79 |=================================================================
D . 12.81 |=================================================================
E . 13.31 |====================================================================
NCNN 20220729
Target: CPU-v3-v3 - Model: mobilenet-v3
ms < Lower Is Better
A . 12.03 |===================================================================
B . 12.21 |====================================================================
C . 12.25 |====================================================================
D . 12.12 |===================================================================
E . 12.21 |====================================================================
NCNN 20220729
Target: CPU - Model: shufflenet-v2
ms < Lower Is Better
A . 13.47 |===================================================================
B . 13.72 |====================================================================
C . 13.47 |===================================================================
D . 13.45 |===================================================================
E . 13.63 |====================================================================
NCNN 20220729
Target: CPU - Model: mnasnet
ms < Lower Is Better
A . 11.92 |===================================================================
B . 12.05 |====================================================================
C . 11.91 |===================================================================
D . 11.74 |==================================================================
E . 11.79 |===================================================================
NCNN 20220729
Target: CPU - Model: efficientnet-b0
ms < Lower Is Better
A . 16.89 |=================================================================
B . 16.67 |================================================================
C . 17.75 |====================================================================
D . 16.54 |===============================================================
E . 16.50 |===============================================================
NCNN 20220729
Target: CPU - Model: blazeface
ms < Lower Is Better
A . 7.15 |===================================================================
B . 7.34 |=====================================================================
C . 7.28 |====================================================================
D . 7.06 |==================================================================
E . 7.23 |====================================================================
NCNN 20220729
Target: CPU - Model: googlenet
ms < Lower Is Better
A . 23.74 |====================================================================
B . 22.53 |=================================================================
C . 23.11 |==================================================================
D . 23.52 |===================================================================
E . 22.64 |=================================================================
NCNN 20220729
Target: CPU - Model: vgg16
ms < Lower Is Better
A . 30.91 |===================================================================
B . 29.05 |===============================================================
C . 29.63 |=================================================================
D . 31.20 |====================================================================
E . 28.68 |===============================================================
NCNN 20220729
Target: CPU - Model: resnet18
ms < Lower Is Better
A . 13.37 |==================================================================
B . 13.18 |=================================================================
C . 13.51 |==================================================================
D . 13.87 |====================================================================
E . 13.20 |=================================================================
NCNN 20220729
Target: CPU - Model: alexnet
ms < Lower Is Better
A . 8.89 |===================================================================
B . 8.51 |================================================================
C . 8.53 |=================================================================
D . 9.12 |=====================================================================
E . 8.62 |=================================================================
NCNN 20220729
Target: CPU - Model: resnet50
ms < Lower Is Better
A . 24.75 |===================================================================
B . 24.49 |==================================================================
C . 25.14 |====================================================================
D . 25.27 |====================================================================
E . 24.34 |=================================================================
NCNN 20220729
Target: CPU - Model: yolov4-tiny
ms < Lower Is Better
A . 27.80 |====================================================================
B . 27.25 |===================================================================
C . 27.28 |===================================================================
D . 27.38 |===================================================================
E . 26.74 |=================================================================
NCNN 20220729
Target: CPU - Model: squeezenet_ssd
ms < Lower Is Better
A . 26.34 |==================================================================
B . 26.36 |==================================================================
C . 27.17 |====================================================================
D . 26.66 |===================================================================
E . 25.96 |=================================================================
NCNN 20220729
Target: CPU - Model: regnety_400m
ms < Lower Is Better
A . 57.14 |==================================================================
B . 57.76 |===================================================================
C . 57.92 |===================================================================
D . 56.90 |==================================================================
E . 58.68 |====================================================================
NCNN 20220729
Target: CPU - Model: vision_transformer
ms < Lower Is Better
A . 151.78 |=================================================================
B . 152.63 |==================================================================
C . 152.79 |==================================================================
D . 155.31 |===================================================================
E . 155.90 |===================================================================
NCNN 20220729
Target: CPU - Model: FastestDet
ms < Lower Is Better
A . 15.33 |===================================================================
B . 14.98 |=================================================================
C . 15.56 |====================================================================
D . 14.92 |=================================================================
E . 14.93 |=================================================================