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:
Processor: 2 x Intel Xeon Platinum 8380 @ 3.40GHz (80 Cores / 160 Threads), Motherboard: Intel M50CYP2SB2U (SE5C6200.86B.0022.D08.2103221623 BIOS), Chipset: Intel Ice Lake IEH, 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: Ubuntu 22.10, Kernel: 5.19.0-15-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server 1.21.1.3, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, 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 Ice Lake IEH, 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: Ubuntu 22.10, Kernel: 5.19.0-15-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server 1.21.1.3, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, 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 Ice Lake IEH, 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: Ubuntu 22.10, Kernel: 5.19.0-15-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server 1.21.1.3, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, 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 Ice Lake IEH, 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: Ubuntu 22.10, Kernel: 5.19.0-15-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server 1.21.1.3, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
OpenVINO 2022.2.dev
Model: Face Detection FP16 - Device: CPU
FPS > Higher Is Better
A . 24.36 |====================================================================
B . 24.45 |====================================================================
C . 24.35 |====================================================================
D . 24.36 |====================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP16 - Device: CPU
FPS > Higher Is Better
A . 13.12 |====================================================================
B . 13.13 |====================================================================
C . 13.09 |====================================================================
D . 13.07 |====================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP32 - Device: CPU
FPS > Higher Is Better
A . 12.90 |====================================================================
B . 12.91 |====================================================================
C . 12.81 |===================================================================
D . 12.91 |====================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16 - Device: CPU
FPS > Higher Is Better
A . 1122.33 |==================================================================
B . 1123.63 |==================================================================
C . 1121.31 |==================================================================
D . 1124.79 |==================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
A . 82.84 |====================================================================
B . 83.18 |====================================================================
C . 82.93 |====================================================================
D . 83.05 |====================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
A . 4399.55 |==================================================================
B . 4407.61 |==================================================================
C . 4408.17 |==================================================================
D . 4401.74 |==================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
FPS > Higher Is Better
A . 2448.40 |==================================================================
B . 2443.95 |==================================================================
C . 2442.14 |==================================================================
D . 2441.15 |==================================================================
OpenVINO 2022.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
FPS > Higher Is Better
A . 230.96 |===================================================================
B . 232.03 |===================================================================
C . 229.50 |==================================================================
D . 227.42 |==================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
FPS > Higher Is Better
A . 9683.64 |==================================================================
B . 9694.57 |==================================================================
C . 9685.17 |==================================================================
D . 9677.29 |==================================================================
OpenVINO 2022.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
FPS > Higher Is Better
A . 2019.08 |==================================================================
B . 2023.27 |==================================================================
C . 2017.86 |==================================================================
D . 2020.40 |==================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
FPS > Higher Is Better
A . 48360.89 |=================================================================
B . 46527.42 |===============================================================
C . 48351.01 |=================================================================
D . 47659.47 |================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
FPS > Higher Is Better
A . 44836.53 |=================================================================
B . 34045.71 |=================================================
C . 33880.47 |=================================================
D . 38908.73 |========================================================
Natron 2.4.3
Input: Spaceship
FPS > Higher Is Better
A . 1.5 |======================================================================
B . 1.5 |======================================================================
C . 1.5 |======================================================================
D . 1.4 |=================================================================
7-Zip Compression 22.01
Test: Compression Rating
MIPS > Higher Is Better
A . 341336 |===================================================================
B . 340384 |===================================================================
C . 340658 |===================================================================
D . 337572 |==================================================================
7-Zip Compression 22.01
Test: Decompression Rating
MIPS > Higher Is Better
A . 357733 |===================================================================
B . 347845 |=================================================================
C . 350969 |==================================================================
D . 338639 |===============================================================
Mobile Neural Network 2.1
Model: nasnet
ms < Lower Is Better
A . 11.68 |===========================================================
B . 12.37 |===============================================================
C . 13.40 |====================================================================
D . 13.02 |==================================================================
Mobile Neural Network 2.1
Model: mobilenetV3
ms < Lower Is Better
A . 1.685 |=============================================================
B . 1.705 |=============================================================
C . 1.889 |====================================================================
D . 1.823 |==================================================================
Mobile Neural Network 2.1
Model: squeezenetv1.1
ms < Lower Is Better
A . 2.114 |=======================================================
B . 2.451 |===============================================================
C . 2.628 |====================================================================
D . 2.534 |==================================================================
Mobile Neural Network 2.1
Model: resnet-v2-50
ms < Lower Is Better
A . 8.119 |===============================================================
B . 8.805 |====================================================================
C . 8.654 |===================================================================
D . 8.606 |==================================================================
Mobile Neural Network 2.1
Model: SqueezeNetV1.0
ms < Lower Is Better
A . 3.641 |========================================================
B . 3.782 |==========================================================
C . 4.417 |====================================================================
D . 4.237 |=================================================================
Mobile Neural Network 2.1
Model: MobileNetV2_224
ms < Lower Is Better
A . 2.615 |========================================================
B . 2.735 |==========================================================
C . 3.197 |====================================================================
D . 3.044 |=================================================================
Mobile Neural Network 2.1
Model: mobilenet-v1-1.0
ms < Lower Is Better
A . 1.878 |========================================================
B . 2.269 |====================================================================
C . 2.268 |====================================================================
D . 2.204 |==================================================================
Mobile Neural Network 2.1
Model: inception-v3
ms < Lower Is Better
A . 20.25 |=================================================================
B . 20.57 |==================================================================
C . 21.15 |====================================================================
D . 20.95 |===================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16 - Device: CPU
ms < Lower Is Better
A . 816.29 |===================================================================
B . 814.05 |===================================================================
C . 816.86 |===================================================================
D . 816.87 |===================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP16 - Device: CPU
ms < Lower Is Better
A . 1507.12 |==================================================================
B . 1510.95 |==================================================================
C . 1511.26 |==================================================================
D . 1515.02 |==================================================================
OpenVINO 2022.2.dev
Model: Person Detection FP32 - Device: CPU
ms < Lower Is Better
A . 1533.51 |==================================================================
B . 1534.43 |==================================================================
C . 1543.62 |==================================================================
D . 1531.79 |=================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16 - Device: CPU
ms < Lower Is Better
A . 17.78 |====================================================================
B . 17.76 |====================================================================
C . 17.80 |====================================================================
D . 17.74 |====================================================================
OpenVINO 2022.2.dev
Model: Face Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
A . 241.03 |===================================================================
B . 240.12 |===================================================================
C . 240.81 |===================================================================
D . 240.51 |===================================================================
OpenVINO 2022.2.dev
Model: Vehicle Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
A . 4.53 |=====================================================================
B . 4.53 |=====================================================================
C . 4.52 |=====================================================================
D . 4.53 |=====================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16 - Device: CPU
ms < Lower Is Better
A . 32.41 |====================================================================
B . 32.49 |====================================================================
C . 32.52 |====================================================================
D . 32.51 |====================================================================
OpenVINO 2022.2.dev
Model: Machine Translation EN To DE FP16 - Device: CPU
ms < Lower Is Better
A . 86.36 |===================================================================
B . 85.92 |===================================================================
C . 86.92 |===================================================================
D . 87.69 |====================================================================
OpenVINO 2022.2.dev
Model: Weld Porosity Detection FP16-INT8 - Device: CPU
ms < Lower Is Better
A . 8.25 |=====================================================================
B . 8.24 |=====================================================================
C . 8.25 |=====================================================================
D . 8.25 |=====================================================================
OpenVINO 2022.2.dev
Model: Person Vehicle Bike Detection FP16 - Device: CPU
ms < Lower Is Better
A . 9.88 |=====================================================================
B . 9.85 |=====================================================================
C . 9.88 |=====================================================================
D . 9.87 |=====================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU
ms < Lower Is Better
A . 1.32 |=================================================================
B . 1.40 |=====================================================================
C . 1.35 |===================================================================
D . 1.37 |====================================================================
OpenVINO 2022.2.dev
Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU
ms < Lower Is Better
A . 1.42 |======================================================
B . 1.74 |==================================================================
C . 1.81 |=====================================================================
D . 1.60 |=============================================================
Timed Node.js Compilation 18.8
Time To Compile
Seconds < Lower Is Better
A . 183.57 |=================================================================
B . 185.52 |==================================================================
C . 184.91 |==================================================================
D . 189.03 |===================================================================
Timed PHP Compilation 8.1.9
Time To Compile
Seconds < Lower Is Better
A . 54.27 |===================================================================
B . 54.71 |====================================================================
C . 54.47 |====================================================================
D . 54.21 |===================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Default
Seconds < Lower Is Better
A . 23.65 |====================================================================
B . 23.67 |====================================================================
C . 23.76 |====================================================================
D . 22.96 |==================================================================
Timed CPython Compilation 3.10.6
Build Configuration: Released Build, PGO + LTO Optimized
Seconds < Lower Is Better
A . 327.43 |==================================================================
B . 329.06 |===================================================================
C . 329.90 |===================================================================
D . 330.26 |===================================================================
Timed Erlang/OTP Compilation 25.0
Time To Compile
Seconds < Lower Is Better
A . 138.30 |===================================================================
B . 137.84 |===================================================================
C . 138.83 |===================================================================
D . 138.87 |===================================================================
Timed Wasmer Compilation 2.3
Time To Compile
Seconds < Lower Is Better
A . 57.45 |==================================================================
B . 58.09 |===================================================================
C . 57.17 |==================================================================
D . 58.79 |====================================================================