3950X Wednesday AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and ASUS NVIDIA GeForce GTX 1660 6GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz), Audio: NVIDIA TU116 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 2.0 AMD-APP (3182.0) + OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160 2: Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: ASUS NVIDIA GeForce GTX 1660 6GB (1530/4001MHz), Audio: NVIDIA TU116 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 2.0 AMD-APP (3182.0) + OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160 3: Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: ASUS NVIDIA GeForce GTX 1660 6GB (405/405MHz), Audio: NVIDIA TU116 HD Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.4.0-48-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: NVIDIA 450.66, OpenGL: 4.6.0, OpenCL: OpenCL 2.0 AMD-APP (3182.0) + OpenCL 1.2 CUDA 11.0.228, Vulkan: 1.2.133, Compiler: GCC 9.3.0 + CUDA 11.0, File-System: ext4, Screen Resolution: 3840x2160 VkFFT 2020-09-29 Benchmark Score > Higher Is Better 1 . 13770 |==================================================================== 2 . 13760 |==================================================================== 3 . 13765 |==================================================================== LeelaChessZero 0.26 Backend: BLAS Nodes Per Second > Higher Is Better 1 . 376 |==================================================================== 2 . 381 |===================================================================== 3 . 387 |====================================================================== LeelaChessZero 0.26 Backend: OpenCL Nodes Per Second > Higher Is Better 1 . 5524 |===================================================================== 2 . 5502 |===================================================================== 3 . 5455 |==================================================================== Dolfyn 0.527 Computational Fluid Dynamics Seconds < Lower Is Better 1 . 15.84 |==================================================================== 2 . 15.65 |=================================================================== 3 . 15.35 |================================================================== FFTE 7.0 N=256, 3D Complex FFT Routine MFLOPS > Higher Is Better 1 . 38706.38 |================================================================= 2 . 38211.98 |================================================================ 3 . 37849.57 |================================================================ Timed HMMer Search 3.3.1 Pfam Database Search Seconds < Lower Is Better 1 . 96.42 |==================================================================== 2 . 95.67 |=================================================================== 3 . 95.94 |==================================================================== Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA Seconds < Lower Is Better 1 . 9.439 |==================================================================== 2 . 9.309 |=================================================================== 3 . 9.251 |=================================================================== BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 1 . 43619437.1 |============================================================ 2 . 45887832.5 |=============================================================== 3 . 44196437.5 |============================================================= Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 Seconds < Lower Is Better 1 . 98.70 |================================================================= 2 . 98.93 |================================================================= 3 . 101.40 |=================================================================== KeyDB 6.0.16 Ops/sec > Higher Is Better 1 . 618019.57 |================================================================ 2 . 616286.88 |================================================================ 3 . 618339.77 |================================================================ GROMACS 2020.3 Water Benchmark Ns Per Day > Higher Is Better 1 . 1.245 |==================================================================== 2 . 1.240 |==================================================================== 3 . 1.228 |=================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 51841 |==================================================================== 2 . 51594 |==================================================================== 3 . 51475 |==================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 103424 |=================================================================== 2 . 103265 |=================================================================== 3 . 103395 |=================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 519585 |=================================================================== 2 . 515176 |================================================================== 3 . 517377 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 128065 |=================================================================== 2 . 127916 |=================================================================== 3 . 127980 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 257992 |=================================================================== 2 . 256819 |=================================================================== 3 . 257231 |=================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 1276520 |================================================================== 2 . 1280710 |================================================================== 3 . 1285423 |================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 2318.13 |================================================================== 2 . 2317.65 |================================================================== 3 . 2317.77 |================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 4620.65 |================================================================== 2 . 4617.67 |================================================================== 3 . 4620.96 |================================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 23157.2 |================================================================== 2 . 23139.5 |================================================================== 3 . 23122.5 |================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 Milli-Seconds < Lower Is Better 1 . 5868.80 |================================================================== 2 . 5831.51 |================================================================== 3 . 5868.51 |================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 Milli-Seconds < Lower Is Better 1 . 11728.6 |================================================================== 2 . 11706.9 |================================================================== 3 . 11716.1 |================================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 Milli-Seconds < Lower Is Better 1 . 58778.3 |================================================================== 2 . 58563.1 |================================================================== 3 . 58666.6 |================================================================== Hierarchical INTegration 1.0 Test: FLOAT QUIPs > Higher Is Better 1 . 382793511.66 |========================================================== 2 . 402390670.71 |============================================================ 3 . 406002766.73 |============================================================= Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better 1 . 54.07 |==================================================================== 2 . 53.27 |=================================================================== 3 . 53.97 |==================================================================== Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better 1 . 66.27 |================================================================== 2 . 68.63 |==================================================================== 3 . 66.19 |================================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 1 . 18.67 |==================================================================== 2 . 18.56 |=================================================================== 3 . 18.76 |==================================================================== Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 1 . 1.95 |==================================================================== 2 . 1.99 |===================================================================== 3 . 1.98 |=====================================================================