ss AMD EPYC 3255 8-Core Temp testing with a congatec conga-B7E3 (5.13 BIOS) and MSI NVIDIA GeForce GTX 1050 2GB on Ubuntu 16.04 via the Phoronix Test Suite. sysbench1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 graphics-magick1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 ipc-benchmarking1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 ipc-benchmarking1024-1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 amg1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 tensorflow1604PH10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 ramspeed1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 npb1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 scimark1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 cachebench1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 onednn1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 apache-ctx_clock1604Ph10: Processor: AMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads), Motherboard: congatec conga-B7E3 (5.13 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: 2000GB Samsung SSD 970 EVO 2TB + 2000GB Portable SSD T5, Graphics: MSI NVIDIA GeForce GTX 1050 2GB, Audio: NVIDIA GP107GL HD Audio, Network: Intel I211 + Intel I210 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 16.04, Kernel: 4.15.0-123-generic (x86_64), Display Server: X Server, Display Driver: NVIDIA, OpenGL: 1.4 (2.1 Mesa 10.5.4), Compiler: GCC 5.5.0 20171010, File-System: ext4, Screen Resolution: 800x600 Sysbench 1.0.20 Test: CPU Events Per Second > Higher Is Better sysbench1604Ph10 . 12018.18 |================================================== GraphicsMagick 1.3.33 Operation: Swirl Iterations Per Minute > Higher Is Better graphics-magick1604Ph10 . 287 |================================================ GraphicsMagick 1.3.33 Operation: Rotate Iterations Per Minute > Higher Is Better graphics-magick1604Ph10 . 458 |================================================ GraphicsMagick 1.3.33 Operation: Sharpen Iterations Per Minute > Higher Is Better graphics-magick1604Ph10 . 82 |================================================= GraphicsMagick 1.3.33 Operation: Enhanced Iterations Per Minute > Higher Is Better graphics-magick1604Ph10 . 120 |================================================ GraphicsMagick 1.3.33 Operation: Resizing Iterations Per Minute > Higher Is Better graphics-magick1604Ph10 . 579 |================================================ GraphicsMagick 1.3.33 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better graphics-magick1604Ph10 . 120 |================================================ GraphicsMagick 1.3.33 Operation: HWB Color Space Iterations Per Minute > Higher Is Better graphics-magick1604Ph10 . 711 |================================================ IPC_benchmark Type: TCP Socket - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmarking1604Ph10 . 1936803 |=========================================== IPC_benchmark Type: Unnamed Pipe - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmarking1604Ph10 . 1926153 |=========================================== IPC_benchmark Type: FIFO Named Pipe - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmarking1604Ph10 . 1811477 |=========================================== IPC_benchmark Type: Unnamed Unix Domain Socket - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmarking1604Ph10 . 1002040 |=========================================== IPC_benchmark Type: TCP Socket - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmarking1024-1604Ph10 . 1476380 |====================================== IPC_benchmark Type: Unnamed Pipe - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmarking1024-1604Ph10 . 1647029 |====================================== IPC_benchmark Type: FIFO Named Pipe - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmarking1024-1604Ph10 . 1590154 |====================================== IPC_benchmark Type: Unnamed Unix Domain Socket - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmarking1024-1604Ph10 . 1498550 |====================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better amg1604Ph10 . 97848307 |======================================================= RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer MB/s > Higher Is Better ramspeed1604Ph10 . 11115.05 |================================================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer MB/s > Higher Is Better ramspeed1604Ph10 . 9654.84 |=================================================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer MB/s > Higher Is Better ramspeed1604Ph10 . 10366.89 |================================================== RAMspeed SMP 3.5.0 Type: Add - Benchmark: Floating Point MB/s > Higher Is Better ramspeed1604Ph10 . 11122.64 |================================================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Floating Point MB/s > Higher Is Better ramspeed1604Ph10 . 9818.92 |=================================================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Floating Point MB/s > Higher Is Better ramspeed1604Ph10 . 10488.67 |================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better npb1604Ph10 . 221.32 |========================================================= NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better npb1604Ph10 . 217.22 |========================================================= SciMark 2.0 Computational Test: Composite Mflops > Higher Is Better scimark1604Ph10 . 382.91 |===================================================== SciMark 2.0 Computational Test: Monte Carlo Mflops > Higher Is Better scimark1604Ph10 . 101.47 |===================================================== SciMark 2.0 Computational Test: Fast Fourier Transform Mflops > Higher Is Better scimark1604Ph10 . 167.16 |===================================================== SciMark 2.0 Computational Test: Sparse Matrix Multiply Mflops > Higher Is Better scimark1604Ph10 . 500.28 |===================================================== SciMark 2.0 Computational Test: Dense LU Matrix Factorization Mflops > Higher Is Better scimark1604Ph10 . 314.80 |===================================================== SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation Mflops > Higher Is Better scimark1604Ph10 . 830.83 |===================================================== CacheBench Test: Read MB/s > Higher Is Better cachebench1604Ph10 . 2086.96 |================================================= CacheBench Test: Write MB/s > Higher Is Better cachebench1604Ph10 . 10865.06 |================================================ CacheBench Test: Read / Modify / Write MB/s > Higher Is Better cachebench1604Ph10 . 21639.89 |================================================ oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 17.76 |======================================================= oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 18.59 |======================================================= oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 9.77902 |===================================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 4.86345 |===================================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 38.31 |======================================================= oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 14.61 |======================================================= oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 20.97 |======================================================= oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 43.94 |======================================================= oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 10.25 |======================================================= oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 13.83 |======================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 12254.6 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 8579.99 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 12314.2 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 8577.57 |===================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 10.81 |======================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 12262.6 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 8572.49 |===================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn1604Ph10 . 6.41798 |===================================================== Apache Benchmark 2.4.29 Static Web Page Serving Requests Per Second > Higher Is Better apache-ctx_clock1604Ph10 . 19458.70 |==========================================