2 x AMD EPYC 7452 32-Core testing with a Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS) and NVIDIA A100-SXM4-40GB on CentOS Linux 7 via the Phoronix Test Suite.
Processor: 2 x AMD EPYC 7452 32-Core @ 2.35GHz (64 Cores), Motherboard: Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 252GB, Graphics: NVIDIA A100-SXM4-40GB, Network: 2 x Intel 10-Gigabit X540-AT2
OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 4.8.5 20150623 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768
Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libgcj --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,objc,obj-c++,java,fortran,ada,go,lto --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-linker-hash-style=gnu --with-tune=generic
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.6.8
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 8.3.0 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768
Kernel Notes: Transparent Huge Pages: always
Environment Notes: EXTRA_NVCCFLAGS=-cudart=shared
Compiler Notes: --disable-multilib --enable-languages=c,c++
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.9.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.
This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL
pts-config-gpu-30-05-2024: The test run did not produce a result.
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
pts-config-gpu-30-05-2024: The test run did not produce a result.
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
pts-config-gpu-30-05-2024: The test run did not produce a result.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
pts-config-gpu-30-05-2024: The test run did not produce a result.
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
pts-config-gpu-30-05-2024: The test run did not produce a result.
NeatBench is a benchmark of the cross-platform Neat Video software on the CPU and optional GPU (OpenCL / CUDA) support. Learn more via the OpenBenchmarking.org test page.
Acceleration: GPU
pts-config-gpu-30-05-2024: The test run did not produce a result.
Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.
Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
Hashcat is an open-source, advanced password recovery tool supporting GPU acceleration with OpenCL, NVIDIA CUDA, and Radeon ROCm. Learn more via the OpenBenchmarking.org test page.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.
Target: OpenCL - Benchmark: Reduction
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.
MandelGPU is an OpenCL benchmark and this test runs with the OpenCL rendering float4 kernel with a maximum of 4096 iterations. Learn more via the OpenBenchmarking.org test page.
OpenCL Device: GPU
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
Scene: Rainbow Colors and Prism - Acceleration: GPU
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)
The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.
Target: OpenCL - Benchmark: MD5 Hash
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory
Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.
Blend File: Barbershop - Compute: NVIDIA OptiX
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
Blend File: Fishy Cat - Compute: NVIDIA OptiX
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
Blend File: Classroom - Compute: NVIDIA OptiX
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
Blend File: Junkshop - Compute: NVIDIA OptiX
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
Blend File: BMW27 - Compute: NVIDIA OptiX
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
Implementation: NVIDIA CUDA GPU - Input: water_GMX50_bare
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: /cuda-build/run-gromacs: line 3: /cuda-build/bin/gmx: No such file or directory
LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.
Scene: LuxCore Benchmark - Acceleration: GPU
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)
Scene: Orange Juice - Acceleration: GPU
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)
Scene: Danish Mood - Acceleration: GPU
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)
Scene: DLSC - Acceleration: GPU
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: ./LuxCore-sdk/bin/luxcoreconsole: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /LuxCore-sdk/lib/libluxcore.so)
FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status.
This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: caffe: line 3: ./tools/caffe: No such file or directory
ViennaCL is an open-source linear algebra library written in C++ and with support for OpenCL and OpenMP. This test profile makes use of ViennaCL's built-in benchmarks. Learn more via the OpenBenchmarking.org test page.
Test: OpenCL BLAS
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: viennacl: line 2: ./ViennaCL-1.7.1/build/examples/benchmarks/dense_blas-bench-opencl: No such file or directory
ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.
Test: Conjugate Gradient OpenCL
pts-config-gpu-30-05-2024: The test run did not produce a result. E: arrayfire: line 3: ./cg_opencl: No such file or directory
LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.
Backend: OpenCL
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: lczero: line 4: ./lc0: No such file or directory
This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: redshift: line 3: /usr/redshift/bin/redshiftBenchmark: No such file or directory
The CUDA and OpenCL version of Vetter's Scalable HeterOgeneous Computing benchmark suite. SHOC provides a number of different benchmark programs for evaluating the performance and stability of compute devices. Learn more via the OpenBenchmarking.org test page.
Target: OpenCL - Benchmark: Texture Read Bandwidth
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Target: OpenCL - Benchmark: Bus Speed Readback
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Target: OpenCL - Benchmark: Bus Speed Download
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Target: OpenCL - Benchmark: Max SP Flops
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Target: OpenCL - Benchmark: GEMM SGEMM_N
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Target: OpenCL - Benchmark: FFT SP
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Target: OpenCL - Benchmark: Triad
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Target: OpenCL - Benchmark: S3D
pts-config-gpu-30-05-2024: The test quit with a non-zero exit status. E: shoc: line 3: ./bin/shocdriver: No such file or directory
Processor: 2 x AMD EPYC 7452 32-Core @ 2.35GHz (64 Cores), Motherboard: Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 252GB, Graphics: NVIDIA A100-SXM4-40GB, Network: 2 x Intel 10-Gigabit X540-AT2
OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 4.8.5 20150623 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768
Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-redhat-linux --disable-libgcj --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,objc,obj-c++,java,fortran,ada,go,lto --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=x86-64 --with-linker-hash-style=gnu --with-tune=generic
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.6.8
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 May 2024 15:53 by user .
Processor: 2 x AMD EPYC 7452 32-Core @ 2.35GHz (64 Cores), Motherboard: Supermicro AS-2124GQ-NART H12DSG-Q-CPU6 v1.01 (1.0a BIOS), Chipset: AMD Starship/Matisse, Memory: 16 x 32 GB DDR4-3200MT/s Samsung M393A4K40DB3-CWE, Disk: 252GB, Graphics: NVIDIA A100-SXM4-40GB, Network: 2 x Intel 10-Gigabit X540-AT2
OS: CentOS Linux 7, Kernel: 5.4.265-1.el7.elrepo.x86_64 (x86_64), Display Server: X Server, Display Driver: NVIDIA, Vulkan: 1.3.260, Compiler: GCC 8.3.0 + CUDA 12.3, File-System: tmpfs, Screen Resolution: 1024x768
Kernel Notes: Transparent Huge Pages: always
Environment Notes: EXTRA_NVCCFLAGS=-cudart=shared
Compiler Notes: --disable-multilib --enable-languages=c,c++
Processor Notes: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x830107a
Graphics Notes: BAR1 / Visible vRAM Size: 65536 MiB - vBIOS Version: 92.00.19.00.13
Python Notes: Python 2.7.5 + Python 3.9.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Vulnerable + spec_store_bypass: Vulnerable + spectre_v1: Vulnerable: __user pointer sanitization and usercopy barriers only; no swapgs barriers + spectre_v2: Vulnerable IBPB: disabled STIBP: disabled PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 May 2024 17:42 by user .