2 x AMD EPYC 7642 48-Core Linux Yield

2 x AMD EPYC 7742 64-Core testing with a AMD DAYTONA_X (RDY1001C BIOS) and llvmpipe 504GB on Ubuntu 19.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1910270-HU-2XAMDEPYC21
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 4 Tests
Bioinformatics 2 Tests
C/C++ Compiler Tests 12 Tests
CPU Massive 13 Tests
Creator Workloads 15 Tests
Database Test Suite 6 Tests
Encoding 7 Tests
HPC - High Performance Computing 6 Tests
Imaging 2 Tests
Common Kernel Benchmarks 4 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 4 Tests
Multi-Core 19 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 4 Tests
Programmer / Developer System Benchmarks 2 Tests
Renderers 3 Tests
Scientific Computing 5 Tests
Server 7 Tests
Server CPU Tests 8 Tests
Single-Threaded 4 Tests
Video Encoding 6 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
2 x AMD EPYC 7642 48-Core
October 24 2019
  14 Hours, 2 Minutes
2 x AMD EPYC 7742 64-Core
October 27 2019
  10 Hours, 37 Minutes
Invert Hiding All Results Option
  12 Hours, 19 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

2 x AMD EPYC 7642 48-Core Linux Yield 2 x AMD EPYC 7742 64-Core testing with a AMD DAYTONA_X (RDY1001C BIOS) and llvmpipe 504GB on Ubuntu 19.10 via the Phoronix Test Suite. ,,"2 x AMD EPYC 7642 48-Core","2 x AMD EPYC 7742 64-Core" Processor,,2 x AMD EPYC 7642 48-Core @ 2.30GHz (96 Cores / 192 Threads),2 x AMD EPYC 7742 64-Core @ 2.25GHz (128 Cores / 256 Threads) Motherboard,,AMD DAYTONA_X (RDY1001C BIOS),AMD DAYTONA_X (RDY1001C BIOS) Chipset,,AMD Starship/Matisse,AMD Starship/Matisse Memory,,516096MB,516096MB Disk,,280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD,280GB INTEL SSDPED1D280GA + 256GB Micron_1100_MTFD Graphics,,llvmpipe 504GB,llvmpipe 504GB Monitor,,VE228,VE228 Network,,2 x Mellanox MT27710,2 x Mellanox MT27710 OS,,Ubuntu 19.10,Ubuntu 19.10 Kernel,,5.4.0-999-generic (x86_64) 20191017,5.4.0-999-generic (x86_64) 20191017 Desktop,,GNOME Shell 3.34.1,GNOME Shell 3.34.1 Display Server,,X Server 1.20.5,X Server 1.20.5 Display Driver,,modesetting 1.20.5,modesetting 1.20.5 OpenGL,,3.3 Mesa 19.2.1 (LLVM 9.0 128 bits),3.3 Mesa 19.2.1 (LLVM 9.0 128 bits) Compiler,,GCC 9.2.1 20191008,GCC 9.2.1 20191008 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"2 x AMD EPYC 7642 48-Core","2 x AMD EPYC 7742 64-Core" "MKL-DNN DNNL - Harness: Deconvolution Batch deconv_all - Data Type: f32 (ms)",LIB,2213.19,844.26 "MKL-DNN DNNL - Harness: Convolution Batch conv_googlenet_v3 - Data Type: u8s8f32 (ms)",LIB,846.64,1575.73 "ACES DGEMM - Sustained Floating-Point Rate (GFLOP/s)",HIB,20.04,29.37 "GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,134,94 "MKL-DNN DNNL - Harness: Convolution Batch conv_alexnet - Data Type: u8s8f32 (ms)",LIB,716.86,534.90 "MKL-DNN DNNL - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 (ms)",LIB,1108.64,843.96 "MKL-DNN DNNL - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 (ms)",LIB,658.74,516.79 "MKL-DNN DNNL - Harness: Convolution Batch conv_3d - Data Type: u8s8f32 (ms)",LIB,1775.59,1393.12 "Facebook RocksDB - Test: Random Read (Op/s)",HIB,364170524,463664567 "dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,98.33,124.37 "dav1d - Video Input: Chimera 1080p (FPS)",HIB,573.92,720.53 "OSPray - Demo: XFrog Forest - Renderer: SciVis (FPS)",HIB,16.31,20.41 "OSPray - Demo: NASA Streamlines - Renderer: SciVis (FPS)",HIB,100,125 "OpenSSL - RSA 4096-bit Performance (Signs/sec)",HIB,19813.40,24750.03 "Pennant - Test: leblancbig (Hydro Cycle Time - sec)",LIB,178.93,223.17 "OSPray - Demo: XFrog Forest - Renderer: Path Tracer (FPS)",HIB,8.87,10.99 "OSPray - Demo: NASA Streamlines - Renderer: Path Tracer (FPS)",HIB,24.39,30.01 "MKL-DNN DNNL - Harness: IP Batch All - Data Type: f32 (ms)",LIB,11.55,14.20 "Pennant - Test: sedovbig (Hydro Cycle Time - sec)",LIB,188.60,231.28 "MKL-DNN DNNL - Harness: Convolution Batch conv_alexnet - Data Type: f32 (ms)",LIB,59.19,48.92 "rav1e - 1080p To AV1 Video Encode (FPS)",HIB,0.82,0.68 "Embree - Binary: Pathtracer - Model: Crown (FPS)",HIB,68.68,82.55 "OSPray - Demo: San Miguel - Renderer: Path Tracer (FPS)",HIB,6.99,8.40 "MKL-DNN DNNL - Harness: Recurrent Neural Network Training - Data Type: f32 (ms)",LIB,662.73,791.31 "OSPray - Demo: San Miguel - Renderer: SciVis (FPS)",HIB,76.92,91.61 "MKL-DNN DNNL - Harness: Convolution Batch conv_all - Data Type: f32 (ms)",LIB,485.82,408.68 "Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,64.95,76.00 "GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1091,943 "GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,791,889 "GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,1119,1248 "OSPray - Demo: Magnetic Reconnection - Renderer: SciVis (FPS)",HIB,50,55.56 "MKL-DNN DNNL - Harness: IP Batch 1D - Data Type: f32 (ms)",LIB,1.86,2.06 "Darktable - Test: Masskrug - Acceleration: CPU-only (sec)",LIB,4.79,5.28 "MKL-DNN DNNL - Harness: Convolution Batch conv_googlenet_v3 - Data Type: f32 (ms)",LIB,31.70,29.02 "dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,724.74,782.32 "Redis - Test: GET (Reqs/sec)",HIB,1804165.17,1942483.35 "Redis - Test: SADD (Reqs/sec)",HIB,1597669.88,1719436.50 "SQLite - Threads / Copies: 1 (sec)",LIB,2.42,2.25 "SVT-AV1 - Encoder Mode: Enc Mode 4 - Input: 1080p (FPS)",HIB,9.69,10.38 "MKL-DNN DNNL - Harness: Convolution Batch conv_all - Data Type: u8s8f32 (ms)",LIB,9665.14,9074.29 "Intel Open Image Denoise - Scene: Memorial (Images / Sec)",HIB,26.05,27.60 "Facebook RocksDB - Test: Random Fill Sync (Op/s)",HIB,178224,188159 "GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,420,440 "Redis - Test: LPUSH (Reqs/sec)",HIB,1237976.26,1292527.80 "ASKAP - Test: tConvolve MPI - Degridding (Million Grid Points/sec)",HIB,12657.97,12135.60 "Redis - Test: LPOP (Reqs/sec)",HIB,1268007.32,1321996.75 "MKL-DNN DNNL - Harness: IP Batch 1D - Data Type: u8s8f32 (ms)",LIB,27.70,26.73 "VP9 libvpx Encoding - vpxenc VP9 1080p Video Encode (FPS)",HIB,132.83,137.33 "Appleseed - Scene: Disney Material (sec)",LIB,58.91,57.00 "glibc bench - Benchmark: sinh (nanoseconds)",LIB,10.19,9.86 "MKL-DNN DNNL - Harness: Deconvolution Batch deconv_1d - Data Type: f32 (ms)",LIB,2.76,2.85 "glibc bench - Benchmark: sqrt (nanoseconds)",LIB,2.92,2.83 "IOR - Write Test (MB/s)",HIB,1197.71,1160.81 "glibc bench - Benchmark: pthread_once (nanoseconds)",LIB,2.32,2.25 "glibc bench - Benchmark: ffsll (nanoseconds)",LIB,2.32,2.25 "glibc bench - Benchmark: ffs (nanoseconds)",LIB,2.32,2.25 "MKL-DNN DNNL - Harness: Convolution Batch conv_3d - Data Type: f32 (ms)",LIB,4.21,4.34 "glibc bench - Benchmark: exp (nanoseconds)",LIB,6.40,6.21 "SVT-VP9 - Tuning: Visual Quality Optimized - Input: Bosphorus 1080p (FPS)",HIB,251.75,259.42 "Timed MrBayes Analysis - Primate Phylogeny Analysis (sec)",LIB,106.63,109.87 "glibc bench - Benchmark: sincos (nanoseconds)",LIB,15.94,15.47 "glibc bench - Benchmark: sin (nanoseconds)",LIB,55.11,53.49 "Sudokut - Total Time (sec)",LIB,16.68,16.19 "GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,649,630 "glibc bench - Benchmark: log2 (nanoseconds)",LIB,7.62,7.40 "glibc bench - Benchmark: atanh (nanoseconds)",LIB,13.21,12.83 "LAME MP3 Encoding - WAV To MP3 (sec)",LIB,9.41,9.14 "glibc bench - Benchmark: cos (nanoseconds)",LIB,55.45,53.86 "glibc bench - Benchmark: tanh (nanoseconds)",LIB,13.96,13.56 "glibc bench - Benchmark: asinh (nanoseconds)",LIB,11.06,10.75 "glibc bench - Benchmark: modf (nanoseconds)",LIB,2.92,2.84 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,54.33,55.82 "SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,78.42,80.56 "SVT-VP9 - Tuning: VMAF Optimized - Input: Bosphorus 1080p (FPS)",HIB,313.35,321.44 "IOR - Read Test (MB/s)",HIB,1818.81,1865.31 "LibreOffice - Test: 20 Documents To PDF (sec)",LIB,9.19,8.97 "Embree - Binary: Pathtracer - Model: Asian Dragon (FPS)",HIB,56.73,58.06 "Redis - Test: SET (Reqs/sec)",HIB,1430535.50,1461897.92 "SVT-AV1 - Encoder Mode: Enc Mode 8 - Input: 1080p (FPS)",HIB,101.83,103.84 "libgav1 - Video Input: Chimera 1080p 10-bit (FPS)",HIB,14.51,14.79 "Embree - Binary: Pathtracer ISPC - Model: Asian Dragon Obj (FPS)",HIB,46.94,47.84 "libgav1 - Video Input: Summer Nature 1080p (FPS)",HIB,47.09,47.92 "MKL-DNN DNNL - Harness: IP Batch All - Data Type: u8s8f32 (ms)",LIB,166.48,163.92 "GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,1992,1963 "NeatBench - Acceleration: CPU (FPS)",HIB,27.20,27.47 "Embree - Binary: Pathtracer - Model: Asian Dragon Obj (FPS)",HIB,50.03,50.52 "libgav1 - Video Input: Summer Nature 4K (FPS)",HIB,15.40,15.52 "ASKAP - Test: tConvolve MPI - Gridding (Million Grid Points/sec)",HIB,9398.43,9466.88 "ASKAP - Test: tConvolve MT - Gridding (Million Grid Points/sec)",HIB,4495.10,4524.24 "libgav1 - Video Input: Chimera 1080p (FPS)",HIB,34.47,34.25 "dav1d - Video Input: Summer Nature 4K (FPS)",HIB,317.43,315.60 "Appleseed - Scene: Emily (sec)",LIB,176.31,175.34 "Appleseed - Scene: Material Tester (sec)",LIB,297.42,296.57 "Himeno Benchmark - Poisson Pressure Solver (MFLOPS)",HIB,2862.27,2869.36 "SVT-VP9 - Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p (FPS)",HIB,321.15,321.93 "Facebook RocksDB - Test: Sequential Fill (Op/s)",HIB,252029, "Facebook RocksDB - Test: Random Fill (Op/s)",HIB,263536, "Apache Cassandra - Test: Writes (Op/s)",HIB,184446, "PostgreSQL pgbench - Scaling: Buffer Test - Test: Single Thread - Mode: Read Write (TPS)",HIB,2163.45, "PostgreSQL pgbench - Scaling: Buffer Test - Test: Single Thread - Mode: Read Only (TPS)",HIB,20042.30, "PostgreSQL pgbench - Scaling: Buffer Test - Test: Normal Load - Mode: Read Only (TPS)",HIB,898293.99, "SVT-AV1 - Encoder Mode: Enc Mode 0 - Input: 1080p (FPS)",HIB,0.05,0.05 "OSPray - Demo: Magnetic Reconnection - Renderer: Path Tracer (FPS)",HIB,333.33,333.33 "Facebook RocksDB - Test: Read While Writing (Op/s)",HIB,9887084, "Apache Cassandra - Test: Mixed 1:3 (Op/s)",HIB,111,100 "Apache Cassandra - Test: Mixed 1:1 (Op/s)",HIB,178,162 "Apache Cassandra - Test: Reads (Op/s)",HIB,135,82 "Darktable - Test: Server Room - Acceleration: CPU-only (sec)",LIB,3.46,4.92 "Darktable - Test: Server Rack - Acceleration: CPU-only (sec)",LIB,0.24,0.23 "Darktable - Test: Boat - Acceleration: CPU-only (sec)",LIB,3.50,3.91 "PostgreSQL pgbench - Scaling: Buffer Test - Test: Normal Load - Mode: Read Write (TPS)",HIB,15444.23, "ASKAP - Test: tConvolve OpenMP - Degridding (Million Grid Points/sec)",HIB,3974.54,3848.79 "ASKAP - Test: tConvolve OpenMP - Gridding (Million Grid Points/sec)",HIB,7093.04,6751.29 "ASKAP - Test: tConvolve MT - Degridding (Million Grid Points/sec)",HIB,6885.82,6637.56 "N-Queens - Elapsed Time (sec)",LIB,2.07,1.75 "LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,0.18,0.15 "LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,0.22,0.27 "MKL-DNN DNNL - Harness: Deconvolution Batch deconv_3d - Data Type: f32 (ms)",LIB,2.81,2.99 "miniFE - Problem Size: Small (CG Mflops)",HIB,15128.13,15615.67 "SQLite - Threads / Copies: 128 (sec)",LIB,137.51,138.96 "SQLite - Threads / Copies: 64 (sec)",LIB,69.53,59.81 "SQLite - Threads / Copies: 32 (sec)",LIB,23.61,24.74 "SQLite - Threads / Copies: 8 (sec)",LIB,6.78,6.57