TR 3960X WK AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Sapphire AMD Radeon RX 5500/5500M / Pro 5500M 4GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads), Motherboard: MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: Sapphire AMD Radeon RX 5500/5500M / Pro 5500M 4GB (1900/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 2: Processor: AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads), Motherboard: MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: Sapphire AMD Radeon RX 5500/5500M / Pro 5500M 4GB (1900/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 3: Processor: AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads), Motherboard: MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS), Chipset: AMD Starship/Matisse, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 1TB, Graphics: Sapphire AMD Radeon RX 5500/5500M / Pro 5500M 4GB (1900/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: ASUS MG28U, Network: Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8 (LLVM 10.0.0), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 46013391.3 |=============================================================== 2 . 45773092.9 |=============================================================== 3 . 46091339.8 |=============================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 83303.76 |================================================================ 2 . 83979.88 |================================================================= 3 . 83465.84 |================================================================= GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 2.529 |==================================================================== 2 . 2.528 |==================================================================== 3 . 2.527 |==================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 387229070.98 |============================================================= 2 . 387185459.43 |============================================================= 3 . 388597973.07 |============================================================= Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 63797 |==================================================================== 2 . 63525 |==================================================================== 3 . 63700 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 127209 |=================================================================== 2 . 127488 |=================================================================== 3 . 127527 |=================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 634925 |=================================================================== 2 . 636843 |=================================================================== 3 . 638848 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 158702 |=================================================================== 2 . 158891 |=================================================================== 3 . 159254 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 318121 |=================================================================== 2 . 319129 |=================================================================== 3 . 317413 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 1585367 |================================================================== 2 . 1589890 |================================================================== 3 . 1586757 |================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 16.40 |==================================================================== 2 . 16.39 |==================================================================== 3 . 16.43 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 17.46 |==================================================================== 2 . 17.24 |=================================================================== 3 . 17.22 |=================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 7.28 |===================================================================== 2 . 7.24 |==================================================================== 3 . 7.33 |===================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 6.82 |===================================================================== 2 . 6.78 |==================================================================== 3 . 6.86 |===================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 7.31 |===================================================================== 2 . 7.28 |==================================================================== 3 . 7.34 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 6.58 |===================================================================== 2 . 6.53 |==================================================================== 3 . 6.57 |===================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 8.79 |===================================================================== 2 . 8.64 |==================================================================== 3 . 8.69 |==================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 2.97 |===================================================================== 2 . 2.93 |==================================================================== 3 . 2.94 |==================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 17.76 |==================================================================== 2 . 17.75 |==================================================================== 3 . 17.78 |==================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 41.10 |================================================================== 2 . 42.30 |==================================================================== 3 . 41.33 |================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 13.89 |==================================================================== 2 . 13.94 |==================================================================== 3 . 13.96 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 11.49 |==================================================================== 2 . 11.56 |==================================================================== 3 . 11.53 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 23.37 |=================================================================== 2 . 23.55 |==================================================================== 3 . 23.53 |==================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 27.88 |=================================================================== 2 . 28.20 |==================================================================== 3 . 28.07 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 6.22 |==================================================================== 2 . 6.27 |===================================================================== 3 . 6.13 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 9.60 |================================================================ 2 . 9.79 |================================================================= 3 . 10.22 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 4.35 |===================================================================== 2 . 4.35 |===================================================================== 3 . 4.35 |===================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 8.35 |==================================================================== 2 . 8.23 |=================================================================== 3 . 8.46 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 3.20 |===================================================================== 2 . 3.20 |===================================================================== 3 . 3.20 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 4.44 |===================================================================== 2 . 4.44 |===================================================================== 3 . 4.44 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 11.93 |================================================================== 2 . 12.20 |==================================================================== 3 . 12.25 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 0.90 |===================================================================== 2 . 0.89 |==================================================================== 3 . 0.89 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 8.63 |===================================================================== 2 . 8.25 |================================================================== 3 . 8.41 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 80.33 |==================================================================== 2 . 80.68 |==================================================================== 3 . 80.10 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 3.83 |===================================================================== 2 . 3.82 |===================================================================== 3 . 3.81 |===================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 28.12 |=================================================================== 2 . 28.66 |==================================================================== 3 . 28.36 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 11.79 |=================================================================== 2 . 11.85 |==================================================================== 3 . 11.92 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 21.70 |==================================================================== 2 . 21.32 |=================================================================== 3 . 21.05 |================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 15.82 |==================================================================== 2 . 15.86 |==================================================================== 3 . 15.71 |=================================================================== Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 131.08 |=================================================================== 2 . 131.43 |=================================================================== 3 . 131.51 |=================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 8.119 |=================================================================== 2 . 8.243 |==================================================================== 3 . 8.187 |==================================================================== Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 108.15 |=================================================================== 2 . 107.56 |=================================================================== 3 . 108.11 |=================================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 53.53 |=================================================================== 2 . 52.58 |================================================================== 3 . 54.33 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 44.98 |=================================================================== 2 . 45.91 |==================================================================== 3 . 45.89 |==================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 19.75 |==================================================================== 2 . 19.69 |==================================================================== 3 . 19.67 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 1.44 |===================================================================== 2 . 1.43 |===================================================================== 3 . 1.43 |=====================================================================