3990X AMD Ryzen Threadripper 3990X 64-Core testing with a System76 Thelio Major (F3h Z5 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.04 via the Phoronix Test Suite. AMD Ryzen Threadripper 3990X 64-Core: Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: System76 Thelio Major (F3h Z5 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: G237HL, Network: Intel I211 + Intel Wi-Fi 6 AX200 OS: Ubuntu 20.04, Kernel: 5.6.0-999-generic (x86_64) 20200325, Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.0.4 (LLVM 9.0.1), Vulkan: 1.2.128, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 NWChem 7.0 Input: C240 Buckyball Seconds < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 8877.2 |================================ oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 1.16962 |=============================== oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 23.59 |================================= oneDNN MKL-DNN 1.3 Harness: IP Batch 1D - Data Type: u8s8f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 18.43 |================================= oneDNN MKL-DNN 1.3 Harness: IP Batch All - Data Type: u8s8f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 69.67 |================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 1.47460 |=============================== oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 1.98016 |=============================== oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 22.56 |================================= oneDNN MKL-DNN 1.3 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 1.20952 |=============================== oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Training - Data Type: f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 294.78 |================================ oneDNN MKL-DNN 1.3 Harness: Recurrent Neural Network Inference - Data Type: f32 ms < Lower Is Better AMD Ryzen Threadripper 3990X 64-Core . 59.59 |================================= Intel Open Image Denoise 1.2.0 Scene: Memorial Images / Sec > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 28.27 |================================= OpenVKL 0.9 Benchmark: vklBenchmark Items / Sec > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 465.91 |================================ OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume Items / Sec > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 19664378.00 |=========================== OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Items / Sec > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 92211908.03 |=========================== OpenVKL 0.9 Benchmark: vklBenchmarkUnstructuredVolume Items / Sec > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 1915954.86 |============================ GROMACS 2020.1 Water Benchmark Ns Per Day > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 3.816 |================================= Apache Cassandra 3.11.4 Test: Reads Op/s > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 10010 |================================= Apache Cassandra 3.11.4 Test: Writes Op/s > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 261829 |================================ Apache Cassandra 3.11.4 Test: Mixed 1:1 Op/s > Higher Is Better AMD Ryzen Threadripper 3990X 64-Core . 1677 |==================================