EPYC Final 7572 2 x AMD EPYC 7F52 16-Core testing with a Supermicro H11DSU-iN (2.1b BIOS) and llvmpipe 504GB on Ubuntu 20.04 via the Phoronix Test Suite. 2 x AMD EPYC 7F52 16-Core: Processor: 2 x AMD EPYC 7F52 16-Core @ 3.50GHz (32 Cores / 64 Threads), Motherboard: Supermicro H11DSU-iN (2.1b BIOS), Chipset: AMD Starship/Matisse, Memory: 504GB, Disk: 2 x 3841GB Micron_9200_MTFDHAL3T8TCT, Graphics: llvmpipe 504GB, Network: 4 x Intel I350 OS: Ubuntu 20.04, Kernel: 5.4.0-39-generic (x86_64), Desktop: GNOME Shell 3.36.2, 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: 1024x768 Stream 2013-01-17 Type: Copy MB/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 186373.0 |========================================= Stream 2013-01-17 Type: Scale MB/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 185259.2 |========================================= Stream 2013-01-17 Type: Triad MB/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 193737.7 |========================================= Stream 2013-01-17 Type: Add MB/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 193030.1 |========================================= NAS Parallel Benchmarks 3.4 Test / Class: BT.C Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 121257.32 |======================================== NAS Parallel Benchmarks 3.4 Test / Class: CG.C Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 46520.54 |========================================= NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 2796.77 |========================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 2814.04 |========================================== NAS Parallel Benchmarks 3.4 Test / Class: FT.C Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 80352.93 |========================================= NAS Parallel Benchmarks 3.4 Test / Class: IS.D Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 2362.45 |========================================== NAS Parallel Benchmarks 3.4 Test / Class: LU.C Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 150572.54 |======================================== NAS Parallel Benchmarks 3.4 Test / Class: MG.C Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 100422.96 |======================================== NAS Parallel Benchmarks 3.4 Test / Class: SP.B Total Mop/s > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 107587.96 |======================================== NAMD 2.13 ATPase Simulation - 327,506 Atoms days/ns < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 0.54924 |========================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 32 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 10143 |============================================ FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 64 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 8601.6 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 32 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 9974.7 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 64 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 8624.8 |=========================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 128 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 7680.2 |=========================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 256 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 8169.1 |=========================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 512 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 8205.0 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 128 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 8033.0 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 256 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 7780.4 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 512 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 7781.7 |=========================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 1024 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 8403.0 |=========================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 2048 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 8124.1 |=========================================== FFTW 3.3.6 Build: Stock - Size: 1D FFT Size 4096 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 7888.8 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 1024 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 7103.3 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 2048 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 6238.9 |=========================================== FFTW 3.3.6 Build: Stock - Size: 2D FFT Size 4096 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 5906.1 |=========================================== FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 32 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 14000 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 64 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 18872 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 32 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 41134 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 64 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 42094 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 128 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 24240 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 256 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 35396 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 512 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 46682 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 128 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 40889 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 256 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 39030 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 512 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 38270 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 1024 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 51386 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 2048 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 53721 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 1D FFT Size 4096 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 51072 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 1024 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 38789 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 2048 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 25783 |============================================ FFTW 3.3.6 Build: Float + SSE - Size: 2D FFT Size 4096 Mflops > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 16843 |============================================ BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 LPS > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 40880028.7 |======================================= BYTE Unix Benchmark 3.6 Computational Test: Integer Arithmetic LPS > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1 |================================================ BYTE Unix Benchmark 3.6 Computational Test: Register Arithmetic LPS > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1 |================================================ BYTE Unix Benchmark 3.6 Computational Test: Floating-Point Arithmetic LPS > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1 |================================================ oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 1.56563 |========================================== oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 15.61 |============================================ oneDNN 1.5 Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 1.66207 |========================================== oneDNN 1.5 Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 11.81 |============================================ oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 1.06521 |========================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 2.44956 |========================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 3.54195 |========================================== oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 4.77664 |========================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 2.02422 |========================================== oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 1.71709 |========================================== oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 393.63 |=========================================== oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 150.17 |=========================================== oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 0.542312 |========================================= oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 0.908745 |========================================= Embree 3.9.0 Binary: Pathtracer - Model: Crown Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 33.36 |============================================ Embree 3.9.0 Binary: Pathtracer ISPC - Model: Crown Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 31.23 |============================================ Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 32.80 |============================================ Embree 3.9.0 Binary: Pathtracer - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 30.26 |============================================ Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 32.64 |============================================ Embree 3.9.0 Binary: Pathtracer ISPC - Model: Asian Dragon Obj Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 29.02 |============================================ SVT-AV1 0.8 Encoder Mode: Enc Mode 0 - Input: 1080p Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 0.117 |============================================ SVT-AV1 0.8 Encoder Mode: Enc Mode 4 - Input: 1080p Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 7.475 |============================================ SVT-AV1 0.8 Encoder Mode: Enc Mode 8 - Input: 1080p Frames Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 60.05 |============================================ Stockfish 9 Total Time Nodes Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 83675715 |========================================= Timed Linux Kernel Compilation 5.4 Time To Compile Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 29.10 |============================================ Timed LLVM Compilation 10.0 Time To Compile Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 222.25 |=========================================== C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 16.56 |============================================ Y-Cruncher 0.7.8.9503 Calculating 500M Pi Digits Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 10.03 |============================================ OpenSSL 1.1.1 RSA 4096-bit Performance Signs Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 9113.6 |=========================================== GROMACS 2020.1 Water Benchmark Ns Per Day > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 4.429 |============================================ Redis 5.0.5 Test: LPOP Requests Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1893751.91 |======================================= Redis 5.0.5 Test: SADD Requests Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1727447.91 |======================================= Redis 5.0.5 Test: LPUSH Requests Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1293740.12 |======================================= Redis 5.0.5 Test: GET Requests Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1782707.95 |======================================= Redis 5.0.5 Test: SET Requests Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1504163.32 |======================================= Sysbench 2018-07-28 Test: Memory Events Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 2100384.74 |======================================= Sysbench 2018-07-28 Test: CPU Events Per Second > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 65196.20 |========================================= Chaos Group V-RAY 4.10.07 Mode: CPU Ksamples > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 39229 |============================================ Blender 2.82 Blend File: BMW27 - Compute: OpenCL Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 354.66 |=========================================== Blender 2.82 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 45.82 |============================================ Blender 2.82 Blend File: Classroom - Compute: OpenCL Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 206.59 |=========================================== Blender 2.82 Blend File: Fishy Cat - Compute: OpenCL Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 928.24 |=========================================== Blender 2.82 Blend File: Barbershop - Compute: OpenCL Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 483.78 |=========================================== Blender 2.82 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 116.31 |=========================================== Blender 2.82 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 71.89 |============================================ Blender 2.82 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 209.10 |=========================================== Blender 2.82 Blend File: Pabellon Barcelona - Compute: OpenCL Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 963.19 |=========================================== Blender 2.82 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 153.19 |=========================================== PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 1005 |============================================= Geekbench 5.0 Test: CPU Multi Core Score > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 32991 |============================================ Geekbench 5.0 Test: CPU Multi Core - Gaussian Blur Mpixels/sec > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1.49 |============================================= Geekbench 5.0 Test: CPU Multi Core - Face Detection images/sec > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 340.6 |============================================ Geekbench 5.0 Test: CPU Multi Core - Horizon Detection Gpixels/sec > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 877.9 |============================================ Geekbench 5.0 Test: CPU Single Core Score > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 1179 |============================================= Geekbench 5.0 Test: CPU Single Core - Gaussian Blur Mpixels/sec > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 74.1 |============================================= Geekbench 5.0 Test: CPU Single Core - Face Detection images/sec > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 9.69 |============================================= Geekbench 5.0 Test: CPU Single Core - Horizon Detection Gpixels/sec > Higher Is Better 2 x AMD EPYC 7F52 16-Core . 27.1 |============================================= Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 24.73 |============================================ Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better 2 x AMD EPYC 7F52 16-Core . 198.49 |===========================================