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 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 |=============================================================== 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 |==================================================================== 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 FPS > Higher Is Better A . 24.36 |==================================================================== B . 24.45 |==================================================================== C . 24.35 |==================================================================== D . 24.36 |==================================================================== 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 FPS > Higher Is Better A . 13.12 |==================================================================== B . 13.13 |==================================================================== C . 13.09 |==================================================================== D . 13.07 |==================================================================== 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 FPS > Higher Is Better A . 12.90 |==================================================================== B . 12.91 |==================================================================== C . 12.81 |=================================================================== D . 12.91 |==================================================================== 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 FPS > Higher Is Better A . 1122.33 |================================================================== B . 1123.63 |================================================================== C . 1121.31 |================================================================== D . 1124.79 |================================================================== 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 FPS > Higher Is Better A . 82.84 |==================================================================== B . 83.18 |==================================================================== C . 82.93 |==================================================================== D . 83.05 |==================================================================== 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 FPS > Higher Is Better A . 4399.55 |================================================================== B . 4407.61 |================================================================== C . 4408.17 |================================================================== D . 4401.74 |================================================================== 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 FPS > Higher Is Better A . 2448.40 |================================================================== B . 2443.95 |================================================================== C . 2442.14 |================================================================== D . 2441.15 |================================================================== 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 FPS > Higher Is Better A . 230.96 |=================================================================== B . 232.03 |=================================================================== C . 229.50 |================================================================== D . 227.42 |================================================================== 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 FPS > Higher Is Better A . 9683.64 |================================================================== B . 9694.57 |================================================================== C . 9685.17 |================================================================== D . 9677.29 |================================================================== 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 FPS > Higher Is Better A . 2019.08 |================================================================== B . 2023.27 |================================================================== C . 2017.86 |================================================================== D . 2020.40 |================================================================== 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 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 - 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 FPS > Higher Is Better A . 44836.53 |================================================================= B . 34045.71 |================================================= C . 33880.47 |================================================= D . 38908.73 |======================================================== 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 |============================================================= Natron 2.4.3 Input: Spaceship FPS > Higher Is Better A . 1.5 |====================================================================== B . 1.5 |====================================================================== C . 1.5 |====================================================================== D . 1.4 |=================================================================