AMD EPYC 7742 2P June 2 x AMD EPYC 7742 64-Core testing with a AMD DAYTONA_X (RDY1006G BIOS) and llvmpipe 504GB on Ubuntu 20.04 via the Phoronix Test Suite. EPYC 7742 2P: Processor: 2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads), Motherboard: AMD DAYTONA_X (RDY1006G BIOS), Chipset: AMD Starship/Matisse, Memory: 504GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe 504GB, Monitor: VE228, Network: 2 x Mellanox MT27710 OS: Ubuntu 20.04, Kernel: 5.4.0-31-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image Test Cases Per Minute > Higher Is Better EPYC 7742 2P . 9943.53 |======================================================= WireGuard + Linux Networking Stack Stress Test Seconds < Lower Is Better EPYC 7742 2P . 399.13 |======================================================== Rodinia 3.1 Test: OpenMP Myocyte Seconds < Lower Is Better EPYC 7742 2P . 215.03 |======================================================== oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 903.60 |======================================================== Rodinia 3.1 Test: OpenMP HotSpot3D Seconds < Lower Is Better EPYC 7742 2P . 109.70 |======================================================== PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better EPYC 7742 2P . 547 |=========================================================== Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better EPYC 7742 2P . 20.74 |========================================================= PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better EPYC 7742 2P . 15.9 |========================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better EPYC 7742 2P . 372 |=========================================================== PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better EPYC 7742 2P . 291 |=========================================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 19.09 |========================================================= oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 9.92480 |======================================================= Rodinia 3.1 Test: OpenMP Streamcluster Seconds < Lower Is Better EPYC 7742 2P . 9.985 |========================================================= Rodinia 3.1 Test: OpenMP Leukocyte Seconds < Lower Is Better EPYC 7742 2P . 47.45 |========================================================= PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better EPYC 7742 2P . 200 |=========================================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 356.03 |======================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better EPYC 7742 2P . 20.1 |========================================================== Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping Test Cases Per Minute > Higher Is Better EPYC 7742 2P . 696.47 |======================================================== Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster Test Cases Per Minute > Higher Is Better EPYC 7742 2P . 860.50 |======================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better EPYC 7742 2P . 552 |=========================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better EPYC 7742 2P . 32.6 |========================================================== PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better EPYC 7742 2P . 59.1 |========================================================== Rodinia 3.1 Test: OpenMP LavaMD Seconds < Lower Is Better EPYC 7742 2P . 29.01 |========================================================= PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better EPYC 7742 2P . 130 |=========================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better EPYC 7742 2P . 135 |=========================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better EPYC 7742 2P . 130 |=========================================================== PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better EPYC 7742 2P . 125 |=========================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 2.12822 |======================================================= oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 2.80983 |======================================================= oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 3.08972 |======================================================= oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 1.96660 |======================================================= oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 0.803470 |====================================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 0.723990 |====================================================== Rodinia 3.1 Test: OpenMP CFD Solver Seconds < Lower Is Better EPYC 7742 2P . 8.910 |========================================================= oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 2.56001 |======================================================= oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 0.715804 |====================================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 1.13591 |======================================================= oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better EPYC 7742 2P . 2.67201 |=======================================================