AMD EPYC 7502 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe on Ubuntu 20.10 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 2012126-HA-EPYC7502356
EPYC 7502
AMD EPYC 7502 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe on Ubuntu 20.10 via the Phoronix Test Suite.
,,"1","2","3"
Processor,,AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads),AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads),AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads)
Motherboard,,ASRockRack EPYCD8 (P2.10 BIOS),ASRockRack EPYCD8 (P2.10 BIOS),ASRockRack EPYCD8 (P2.10 BIOS)
Chipset,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse
Memory,,126GB,126GB,126GB
Disk,,280GB INTEL SSDPED1D280GA,280GB INTEL SSDPED1D280GA,280GB INTEL SSDPED1D280GA
Graphics,,llvmpipe,llvmpipe,llvmpipe
Audio,,AMD Starship/Matisse,AMD Starship/Matisse,AMD Starship/Matisse
Monitor,,VE228,VE228,VE228
Network,,2 x Intel I350,2 x Intel I350,2 x Intel I350
OS,,Ubuntu 20.10,Ubuntu 20.10,Ubuntu 20.10
Kernel,,5.8.0-31-generic (x86_64),5.8.0-31-generic (x86_64),5.8.0-31-generic (x86_64)
Desktop,,GNOME Shell 3.38.1,GNOME Shell 3.38.1,GNOME Shell 3.38.1
Display Server,,X Server 1.20.9,X Server 1.20.9,X Server 1.20.9
Display Driver,,modesetting 1.20.9,modesetting 1.20.9,modesetting 1.20.9
OpenGL,,4.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits),4.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits)
Compiler,,GCC 10.2.0,GCC 10.2.0,GCC 10.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1024x768,1920x1080,1920x1080
,,"1","2","3"
"Compile Bench - Test: Compile (MB/s)",HIB,1826.99,1840.71,1831.66
"Compile Bench - Test: Initial Create (MB/s)",HIB,529.46,543.80,544.25
"Compile Bench - Test: Read Compiled Tree (MB/s)",HIB,2774.39,2757.12,2783.90
"Timed HMMer Search - Pfam Database Search (sec)",LIB,176.770,176.857,176.754
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,10.410,10.317,10.256
"GraphicsMagick - Operation: Swirl (Iterations/min)",HIB,1198,1194,1200
"GraphicsMagick - Operation: Rotate (Iterations/min)",HIB,520,508,524
"GraphicsMagick - Operation: Sharpen (Iterations/min)",HIB,372,372,375
"GraphicsMagick - Operation: Enhanced (Iterations/min)",HIB,567,564,567
"GraphicsMagick - Operation: Resizing (Iterations/min)",HIB,1767,1759,1769
"GraphicsMagick - Operation: Noise-Gaussian (Iterations/min)",HIB,514,506,513
"GraphicsMagick - Operation: HWB Color Space (Iterations/min)",HIB,1124,1101,1133
"oneDNN - Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU (ms)",LIB,1.59488,1.60043,1.59918
"oneDNN - Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU (ms)",LIB,2.99323,2.99882,2.99084
"oneDNN - Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.18770,1.18465,1.18670
"oneDNN - Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.02232,1.004974,1.00896
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,3.50587,3.50799,3.50153
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU (ms)",LIB,2.13223,2.12522,2.13462
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU (ms)",LIB,3.69957,3.69580,3.68999
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,4.02660,3.99404,4.00453
"oneDNN - Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2.21053,2.20864,2.21550
"oneDNN - Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.95466,1.95672,1.96404
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,2780.11,2782.40,2764.71
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,1006.148,1014.80,1011.406
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,2958.90,2787.42,2772.04
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1002.238,996.484,1026.04
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,0.538154,0.541569,0.541623
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,2782.71,2790.87,2772.14
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU (ms)",LIB,1023.25,1012.515,1022.60
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,1.17432,1.17368,1.17332
"Coremark - CoreMark Size 666 - Iterations Per Second (Iterations/Sec)",HIB,1128026.259987,1129442.350265,1128056.110863
"Timed FFmpeg Compilation - Time To Compile (sec)",LIB,26.174,26.261,26.231
"SQLite Speedtest - Timed Time - Size 1,000 (sec)",LIB,82.971,84.917,83.411
"Apache Siege - Concurrent Users: 10 (Transactions/sec)",HIB,19503.99,20108.13,
"Apache Siege - Concurrent Users: 50 (Transactions/sec)",HIB,29285.90,29257.88,
"Apache Siege - Concurrent Users: 100 (Transactions/sec)",HIB,30541.45,30529.88,
"Apache Siege - Concurrent Users: 200 (Transactions/sec)",HIB,33062.47,32895.05,
"Apache Siege - Concurrent Users: 250 (Transactions/sec)",HIB,37395.23,34655.33,
"Apache Siege - Concurrent Users: 500 (Transactions/sec)",HIB,46298.75,,
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,362291,,