Pre 10.0 Xeon 2 x Intel Xeon Gold 5220R testing with a TYAN S7106 (V2.01.B40 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 + 2 x QLogic cLOM8214 1/10GbE OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: 2 x Intel Xeon Gold 5220R @ 3.90GHz (36 Cores / 72 Threads), Motherboard: TYAN S7106 (V2.01.B40 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 94GB, Disk: 500GB Samsung SSD 860, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 21.45 |=================================================================== 2 . 21.77 |==================================================================== 3 . 21.42 |=================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 108341.69 |================================================================ 2 . 108071.86 |================================================================ 3 . 108490.04 |================================================================ Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 224.19 |=================================================================== 2 . 223.49 |=================================================================== 3 . 224.41 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 11.77 |==================================================================== 2 . 11.66 |=================================================================== 3 . 11.78 |==================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 38439689.9 |=============================================================== 2 . 38381617.8 |=============================================================== 3 . 38354114.7 |=============================================================== RNNoise 2020-06-28 Seconds < Lower Is Better 1 . 28.60 |==================================================================== 2 . 28.47 |==================================================================== 3 . 28.53 |==================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 220.17 |================================================================ 2 . 230.04 |=================================================================== 3 . 227.45 |================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 428636.10 |=============================================================== 2 . 431112.39 |================================================================ 3 . 433887.12 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 3.388 |=================================================================== 2 . 3.414 |==================================================================== 3 . 3.412 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 66224 |==================================================================== 2 . 64586 |================================================================== 3 . 65576 |=================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 127100 |================================================================= 2 . 131732 |=================================================================== 3 . 129589 |================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 175016 |============================================================== 2 . 188383 |=================================================================== 3 . 187722 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 369192 |================================================================== 2 . 340934 |============================================================= 3 . 374772 |=================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 20.50 |==================================================================== 2 . 20.11 |=================================================================== 3 . 20.09 |=================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 22.71 |==================================================================== 2 . 22.47 |=================================================================== 3 . 22.73 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 9.99 |================================================================== 2 . 9.95 |================================================================== 3 . 10.24 |==================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 9.54 |==================================================================== 2 . 9.44 |=================================================================== 3 . 9.66 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 9.22 |================================================================== 2 . 9.37 |=================================================================== 3 . 9.62 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 9.28 |==================================================================== 2 . 9.26 |==================================================================== 3 . 9.39 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 12.75 |==================================================================== 2 . 12.54 |================================================================== 3 . 12.83 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 4.53 |===================================================================== 2 . 4.46 |==================================================================== 3 . 4.49 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 23.03 |==================================================================== 2 . 22.84 |=================================================================== 3 . 22.97 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 40.32 |================================================================= 2 . 41.06 |================================================================== 3 . 42.27 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 15.71 |==================================================================== 2 . 15.57 |=================================================================== 3 . 15.74 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 11.91 |==================================================================== 2 . 11.86 |==================================================================== 3 . 11.90 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 28.45 |==================================================================== 2 . 28.22 |=================================================================== 3 . 28.26 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 32.10 |==================================================================== 2 . 32.14 |==================================================================== 3 . 31.81 |=================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 7.00 |===================================================================== 2 . 7.02 |===================================================================== 3 . 6.95 |==================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 2518.37 |================================================================== 2 . 2518.58 |================================================================== 3 . 2533.70 |================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 6.97 |===================================================================== 2 . 6.98 |===================================================================== 3 . 6.99 |===================================================================== OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 2526.49 |================================================================== 2 . 2519.70 |================================================================== 3 . 2519.93 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU FPS > Higher Is Better 1 . 4.17 |===================================================================== 2 . 4.15 |===================================================================== 3 . 4.16 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU ms < Lower Is Better 1 . 4179.40 |================================================================== 2 . 4182.73 |================================================================== 3 . 4167.66 |================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU FPS > Higher Is Better 1 . 4.15 |===================================================================== 2 . 4.15 |===================================================================== 3 . 4.14 |===================================================================== OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU ms < Lower Is Better 1 . 4182.32 |================================================================== 2 . 4168.04 |================================================================== 3 . 4183.35 |================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better 1 . 21610.13 |================================================================= 2 . 21650.99 |================================================================= 3 . 21598.60 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better 1 . 0.8 |====================================================================== 2 . 0.8 |====================================================================== 3 . 0.8 |====================================================================== OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU FPS > Higher Is Better 1 . 21620.67 |================================================================= 2 . 21613.90 |================================================================= 3 . 21634.75 |================================================================= OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU ms < Lower Is Better 1 . 0.8 |====================================================================== 2 . 0.8 |====================================================================== 3 . 0.8 |====================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 385726582.81 |============================================================= 2 . 383680919.91 |============================================================= 3 . 385694400.25 |=============================================================