ss6 AMD EPYC 3255 8-Core Temp testing with a congatec conga-B7E3 (5.13 BIOS) and NVIDIA Quadro P1000 4GB on Ubuntu 20.04 via the Phoronix Test Suite. sysbench2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 graphics-magick2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 ipc-benchmark2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 amg2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 ramspeed2004PH1-: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 npb2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 scimark2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 cachebench2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 onednn2004Ph10: 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: 1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5, Graphics: NVIDIA Quadro P1000 4GB, Audio: NVIDIA GP107GL HD Audio, Monitor: HP Z24n G2, Network: Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459 OS: Ubuntu 20.04, Kernel: 5.4.0-65-generic (x86_64), Display Driver: nouveau, OpenGL: 4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1200 NAS Parallel Benchmarks 3.4 Test / Class: EP.D Total Mop/s > Higher Is Better npb2004Ph10 . 382.85 |========================================================= CacheBench Test: Read / Modify / Write MB/s > Higher Is Better cachebench2004Ph10 . 30368.71 |================================================ CacheBench Test: Write MB/s > Higher Is Better cachebench2004Ph10 . 17416.30 |================================================ CacheBench Test: Read MB/s > Higher Is Better cachebench2004Ph10 . 2145.01 |================================================= oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 10780.4 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 10785.1 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 10707.5 |===================================================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Integer MB/s > Higher Is Better ramspeed2004PH1- . 17114.71 |================================================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Integer MB/s > Higher Is Better ramspeed2004PH1- . 18296.39 |================================================== RAMspeed SMP 3.5.0 Type: Add - Benchmark: Integer MB/s > Higher Is Better ramspeed2004PH1- . 20720.60 |================================================== RAMspeed SMP 3.5.0 Type: Scale - Benchmark: Floating Point MB/s > Higher Is Better ramspeed2004PH1- . 16118.97 |================================================== RAMspeed SMP 3.5.0 Type: Add - Benchmark: Floating Point MB/s > Higher Is Better ramspeed2004PH1- . 21039.85 |================================================== RAMspeed SMP 3.5.0 Type: Average - Benchmark: Floating Point MB/s > Higher Is Better ramspeed2004PH1- . 18556.23 |================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 5929.13 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 5916.13 |===================================================== oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 5899.04 |===================================================== Sysbench 1.0.20 Test: CPU Events Per Second > Higher Is Better sysbench2004Ph10 . 12224.31 |================================================== GraphicsMagick 1.3.33 Operation: Sharpen Iterations Per Minute > Higher Is Better graphics-magick2004Ph10 . 88 |================================================= GraphicsMagick 1.3.33 Operation: Enhanced Iterations Per Minute > Higher Is Better graphics-magick2004Ph10 . 122 |================================================ GraphicsMagick 1.3.33 Operation: Noise-Gaussian Iterations Per Minute > Higher Is Better graphics-magick2004Ph10 . 158 |================================================ GraphicsMagick 1.3.33 Operation: Resizing Iterations Per Minute > Higher Is Better graphics-magick2004Ph10 . 622 |================================================ GraphicsMagick 1.3.33 Operation: Swirl Iterations Per Minute > Higher Is Better graphics-magick2004Ph10 . 308 |================================================ GraphicsMagick 1.3.33 Operation: HWB Color Space Iterations Per Minute > Higher Is Better graphics-magick2004Ph10 . 715 |================================================ GraphicsMagick 1.3.33 Operation: Rotate Iterations Per Minute > Higher Is Better graphics-magick2004Ph10 . 510 |================================================ SciMark 2.0 Computational Test: Composite Mflops > Higher Is Better scimark2004Ph10 . 417.27 |===================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better amg2004Ph10 . 178649867 |====================================================== NAS Parallel Benchmarks 3.4 Test / Class: EP.C Total Mop/s > Higher Is Better npb2004Ph10 . 384.06 |========================================================= oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 14.33 |======================================================= oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 10.07 |======================================================= oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 11.16 |======================================================= oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 9.73030 |===================================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 13.88 |======================================================= Sysbench 1.0.20 Test: RAM / Memory MiB/sec > Higher Is Better sysbench2004Ph10 . 7131.37 |=================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 6.34811 |===================================================== oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 6.59184 |===================================================== IPC_benchmark Type: Unnamed Unix Domain Socket - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 922138 |=============================================== oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 14.01 |======================================================= oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 3.58594 |===================================================== IPC_benchmark Type: TCP Socket - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 1305400 |============================================== IPC_benchmark Type: Unnamed Unix Domain Socket - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 1249552 |============================================== IPC_benchmark Type: FIFO Named Pipe - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 1883295 |============================================== oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 27.22 |======================================================= oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 23.78 |======================================================= IPC_benchmark Type: FIFO Named Pipe - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 1476384 |============================================== IPC_benchmark Type: TCP Socket - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 1887239 |============================================== IPC_benchmark Type: Unnamed Pipe - Message Bytes: 1024 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 1589778 |============================================== IPC_benchmark Type: Unnamed Pipe - Message Bytes: 128 Messages Per Second > Higher Is Better ipc-benchmark2004Ph10 . 1966470 |============================================== oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better onednn2004Ph10 . 21.08 |======================================================= SciMark 2.0 Computational Test: Jacobi Successive Over-Relaxation Mflops > Higher Is Better scimark2004Ph10 . 859.83 |===================================================== SciMark 2.0 Computational Test: Dense LU Matrix Factorization Mflops > Higher Is Better scimark2004Ph10 . 539.42 |===================================================== SciMark 2.0 Computational Test: Sparse Matrix Multiply Mflops > Higher Is Better scimark2004Ph10 . 451.72 |===================================================== SciMark 2.0 Computational Test: Fast Fourier Transform Mflops > Higher Is Better scimark2004Ph10 . 135.04 |===================================================== SciMark 2.0 Computational Test: Monte Carlo Mflops > Higher Is Better scimark2004Ph10 . 100.33 |=====================================================