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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2106294-IB-SS497779426
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
NAS Parallel Benchmarks 3.4
Test / Class: EP.D
Total Mop/s > Higher Is Better
npb1604Ph10 . 217.22 |=========================================================
RAMspeed SMP 3.5.0
Type: Average - Benchmark: Integer
MB/s > Higher Is Better
ramspeed1604Ph10 . 10366.89 |==================================================
RAMspeed SMP 3.5.0
Type: Scale - Benchmark: Integer
MB/s > Higher Is Better
ramspeed1604Ph10 . 9654.84 |===================================================
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: Floating Point
MB/s > Higher Is Better
ramspeed1604Ph10 . 9818.92 |===================================================
RAMspeed SMP 3.5.0
Type: Add - Benchmark: Floating Point
MB/s > Higher Is Better
ramspeed1604Ph10 . 11122.64 |==================================================
RAMspeed SMP 3.5.0
Type: Average - Benchmark: Floating Point
MB/s > Higher Is Better
ramspeed1604Ph10 . 10488.67 |==================================================
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 Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 12262.6 |=====================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 12254.6 |=====================================================
CacheBench
Test: Read / Modify / Write
MB/s > Higher Is Better
cachebench1604Ph10 . 21639.89 |================================================
CacheBench
Test: Write
MB/s > Higher Is Better
cachebench1604Ph10 . 10865.06 |================================================
CacheBench
Test: Read
MB/s > Higher Is Better
cachebench1604Ph10 . 2086.96 |=================================================
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: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 8579.99 |=====================================================
oneDNN 2.1.2
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 8572.49 |=====================================================
Sysbench 1.0.20
Test: CPU
Events Per Second > Higher Is Better
sysbench1604Ph10 . 12018.18 |==================================================
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: Swirl
Iterations Per Minute > Higher Is Better
graphics-magick1604Ph10 . 287 |================================================
GraphicsMagick 1.3.33
Operation: Noise-Gaussian
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: Rotate
Iterations Per Minute > Higher Is Better
graphics-magick1604Ph10 . 458 |================================================
GraphicsMagick 1.3.33
Operation: HWB Color Space
Iterations Per Minute > Higher Is Better
graphics-magick1604Ph10 . 711 |================================================
Apache Benchmark 2.4.29
Static Web Page Serving
Requests Per Second > Higher Is Better
apache-ctx_clock1604Ph10 . 19458.70 |==========================================
IPC_benchmark
Type: Unnamed Unix Domain Socket - Message Bytes: 128
Messages Per Second > Higher Is Better
ipc-benchmarking1604Ph10 . 1002040 |===========================================
Algebraic Multi-Grid Benchmark 1.2
Figure Of Merit > Higher Is Better
amg1604Ph10 . 97848307 |=======================================================
NAS Parallel Benchmarks 3.4
Test / Class: EP.C
Total Mop/s > Higher Is Better
npb1604Ph10 . 221.32 |=========================================================
SciMark 2.0
Computational Test: Composite
Mflops > Higher Is Better
scimark1604Ph10 . 382.91 |=====================================================
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_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 10.25 |=======================================================
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 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 9.77902 |=====================================================
IPC_benchmark
Type: TCP Socket - Message Bytes: 1024
Messages Per Second > Higher Is Better
ipc-benchmarking1024-1604Ph10 . 1476380 |======================================
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: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 6.41798 |=====================================================
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 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 4.86345 |=====================================================
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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 38.31 |=======================================================
IPC_benchmark
Type: Unnamed Unix Domain Socket - Message Bytes: 1024
Messages Per Second > Higher Is Better
ipc-benchmarking1024-1604Ph10 . 1498550 |======================================
IPC_benchmark
Type: FIFO Named Pipe - Message Bytes: 1024
Messages Per Second > Higher Is Better
ipc-benchmarking1024-1604Ph10 . 1590154 |======================================
IPC_benchmark
Type: TCP Socket - Message Bytes: 128
Messages Per Second > Higher Is Better
ipc-benchmarking1604Ph10 . 1936803 |===========================================
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: 128
Messages Per Second > Higher Is Better
ipc-benchmarking1604Ph10 . 1811477 |===========================================
IPC_benchmark
Type: Unnamed Pipe - Message Bytes: 128
Messages Per Second > Higher Is Better
ipc-benchmarking1604Ph10 . 1926153 |===========================================
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: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
onednn1604Ph10 . 13.83 |=======================================================
SciMark 2.0
Computational Test: Jacobi Successive Over-Relaxation
Mflops > Higher Is Better
scimark1604Ph10 . 830.83 |=====================================================
SciMark 2.0
Computational Test: Dense LU Matrix Factorization
Mflops > Higher Is Better
scimark1604Ph10 . 314.80 |=====================================================
SciMark 2.0
Computational Test: Sparse Matrix Multiply
Mflops > Higher Is Better
scimark1604Ph10 . 500.28 |=====================================================
SciMark 2.0
Computational Test: Fast Fourier Transform
Mflops > Higher Is Better
scimark1604Ph10 . 167.16 |=====================================================
SciMark 2.0
Computational Test: Monte Carlo
Mflops > Higher Is Better
scimark1604Ph10 . 101.47 |=====================================================