tests AMD EPYC 7763 64-Core testing with a Supermicro H12SSL-i v1.01 (2.0 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads), Motherboard: Supermicro H12SSL-i v1.01 (2.0 BIOS), Chipset: AMD Starship/Matisse, Memory: 126GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Network: 2 x Broadcom NetXtreme BCM5720 2-port PCIe OS: Ubuntu 20.04, Kernel: 5.12.0-051200rc6daily20210408-generic (x86_64) 20210407, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1024x768 Timed Erlang/OTP Compilation 23.2 Time To Compile Seconds < Lower Is Better 1 . 133.89 |=================================================================== Timed Eigen Compilation 3.3.9 Time To Compile Seconds < Lower Is Better 1 . 82.48 |==================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.722556 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 660.36 |=================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better 1 . 1386.60 |================================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 0.374254 |================================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 657.62 |=================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1379.72 |================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 658.65 |=================================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1380.57 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.783058 |================================================================= oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.600926 |================================================================= oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.67066 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.03229 |================================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 7.18708 |================================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 0.869155 |================================================================= oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 0.655733 |================================================================= oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 1 . 1.18820 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 3.62406 |================================================================== oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 1 . 1.17262 |================================================================== Tungsten Renderer 0.2.2 Scene: Volumetric Caustic Seconds < Lower Is Better 1 . 14.02 |==================================================================== Tungsten Renderer 0.2.2 Scene: Non-Exponential Seconds < Lower Is Better 1 . 2.25910 |================================================================== Tungsten Renderer 0.2.2 Scene: Water Caustic Seconds < Lower Is Better 1 . 22.09 |==================================================================== Tungsten Renderer 0.2.2 Scene: Hair Seconds < Lower Is Better 1 . 6.55682 |================================================================== Build2 0.13 Time To Compile Seconds < Lower Is Better 1 . 61.18 |==================================================================== Timed PHP Compilation 7.4.2 Time To Compile Seconds < Lower Is Better 1 . 37.80 |==================================================================== Timed Node.js Compilation 15.11 Time To Compile Seconds < Lower Is Better 1 . 110.99 |=================================================================== Timed MPlayer Compilation 1.4 Time To Compile Seconds < Lower Is Better 1 . 11.28 |==================================================================== Timed Mesa Compilation 21.0 Time To Compile Seconds < Lower Is Better 1 . 19.87 |==================================================================== Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better 1 . 205.99 |=================================================================== Timed Linux Kernel Compilation 5.10.20 Time To Compile Seconds < Lower Is Better 1 . 26.92 |==================================================================== Timed ImageMagick Compilation 6.9.0 Time To Compile Seconds < Lower Is Better 1 . 14.06 |==================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 52.10 |==================================================================== Timed GDB GNU Debugger Compilation 9.1 Time To Compile Seconds < Lower Is Better 1 . 99.72 |==================================================================== Timed GCC Compilation 9.3.0 Time To Compile Seconds < Lower Is Better 1 . 762.06 |=================================================================== Timed FFmpeg Compilation 4.2.2 Time To Compile Seconds < Lower Is Better 1 . 20.19 |==================================================================== Timed Clash Compilation Time To Compile Seconds < Lower Is Better 1 . 464.57 |=================================================================== Timed Apache Compilation 2.4.41 Time To Compile Seconds < Lower Is Better 1 . 23.68 |==================================================================== OpenVKL 0.9 Benchmark: vklBenchmarkUnstructuredVolume Items / Sec > Higher Is Better 1 . 1632986 |================================================================== OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume Items / Sec > Higher Is Better 1 . 103221665 |================================================================ OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume Items / Sec > Higher Is Better 1 . 22602455 |================================================================= OpenVKL 0.9 Benchmark: vklBenchmark Items / Sec > Higher Is Better 1 . 639 |====================================================================== Intel Open Image Denoise 1.2.0 Scene: Memorial Images / Sec > Higher Is Better 1 . 32.55 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 61.26 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 69.66 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 1 . 61.78 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 1 . 69.77 |==================================================================== Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 1 . 62.74 |==================================================================== Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 1 . 63.15 |==================================================================== OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: Path Tracer FPS > Higher Is Better 1 . 500 |====================================================================== OSPray 1.8.5 Demo: NASA Streamlines - Renderer: Path Tracer FPS > Higher Is Better 1 . 21.28 |==================================================================== OSPray 1.8.5 Demo: Magnetic Reconnection - Renderer: SciVis FPS > Higher Is Better 1 . 58.82 |==================================================================== OSPray 1.8.5 Demo: XFrog Forest - Renderer: Path Tracer FPS > Higher Is Better 1 . 7.75 |===================================================================== OSPray 1.8.5 Demo: NASA Streamlines - Renderer: SciVis FPS > Higher Is Better 1 . 100 |====================================================================== OSPray 1.8.5 Demo: San Miguel - Renderer: Path Tracer FPS > Higher Is Better 1 . 6.56 |===================================================================== OSPray 1.8.5 Demo: XFrog Forest - Renderer: SciVis FPS > Higher Is Better 1 . 14.49 |==================================================================== OSPray 1.8.5 Demo: San Miguel - Renderer: SciVis FPS > Higher Is Better 1 . 76.92 |====================================================================