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 ,,"1" "OSPray - Demo: San Miguel - Renderer: SciVis (FPS)",HIB,76.92 "OSPray - Demo: XFrog Forest - Renderer: SciVis (FPS)",HIB,14.49 "OSPray - Demo: San Miguel - Renderer: Path Tracer (FPS)",HIB,6.56 "OSPray - Demo: NASA Streamlines - Renderer: SciVis (FPS)",HIB,100 "OSPray - Demo: XFrog Forest - Renderer: Path Tracer (FPS)",HIB,7.75 "OSPray - Demo: Magnetic Reconnection - Renderer: SciVis (FPS)",HIB,58.82 "OSPray - Demo: NASA Streamlines - Renderer: Path Tracer (FPS)",HIB,21.28 "OSPray - Demo: Magnetic Reconnection - Renderer: Path Tracer (FPS)",HIB,500 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,63.1467 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,62.7414 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,69.7657 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,61.7786 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,69.6576 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,61.2629 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,32.55 "OpenVKL - Benchmark: vklBenchmark (Items / Sec)",HIB,639 "OpenVKL - Benchmark: vklBenchmarkVdbVolume (Items / Sec)",HIB,22602455 "OpenVKL - Benchmark: vklBenchmarkStructuredVolume (Items / Sec)",HIB,103221665 "OpenVKL - Benchmark: vklBenchmarkUnstructuredVolume (Items / Sec)",HIB,1632986 "Timed Apache Compilation - Time To Compile (sec)",LIB,23.682 "Timed Clash Compilation - Time To Compile (sec)",LIB,464.569 "Timed FFmpeg Compilation - Time To Compile (sec)",LIB,20.192 "Timed GCC Compilation - Time To Compile (sec)",LIB,762.064 "Timed GDB GNU Debugger Compilation - Time To Compile (sec)",LIB,99.717 "Timed Godot Game Engine Compilation - Time To Compile (sec)",LIB,52.103 "Timed ImageMagick Compilation - Time To Compile (sec)",LIB,14.064 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,26.924 "Timed LLVM Compilation - Time To Compile (sec)",LIB,205.986 "Timed Mesa Compilation - Time To Compile (sec)",LIB,19.872 "Timed MPlayer Compilation - Time To Compile (sec)",LIB,11.276 "Timed Node.js Compilation - Time To Compile (sec)",LIB,110.990 "Timed PHP Compilation - Time To Compile (sec)",LIB,37.795 "Build2 - Time To Compile (sec)",LIB,61.176 "Tungsten Renderer - Scene: Hair (sec)",LIB,6.55682 "Tungsten Renderer - Scene: Water Caustic (sec)",LIB,22.0863 "Tungsten Renderer - Scene: Non-Exponential (sec)",LIB,2.25910 "Tungsten Renderer - Scene: Volumetric Caustic (sec)",LIB,14.0210 "oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.17262 "oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,3.62406 "oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.18820 "oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.655733 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,0.869155 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,7.18708 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,3.03229 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.67066 "oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.600926 "oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.783058 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1380.57 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,658.648 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1379.72 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,657.616 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.374254 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1386.60 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,660.358 "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,0.722556 "Timed Eigen Compilation - Time To Compile (sec)",LIB,82.476 "Timed Erlang/OTP Compilation - Time To Compile (sec)",LIB,133.893