docker testing on Ubuntu 20.04.4 LTS via the Phoronix Test Suite.
Processor: 2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Dell 0DY2X0 (2.16.2 BIOS), Memory: 64GB, Disk: 2000GB TOSHIBA DT01ACA2, Graphics: NVIDIA Quadro RTX 5000 15GB
OS: Ubuntu 20.04.4 LTS, Kernel: 5.10.0-23-amd64 (x86_64), Display Driver: NVIDIA, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1024x768, System Layer: docker
Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003302
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
OS: Ubuntu 20.04.4 LTS, Kernel: 5.10.0-23-amd64 (x86_64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.0.151, Vulkan: 1.1.182, Compiler: GCC 9.4.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1024x768, System Layer: docker
Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x5003302
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
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.
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
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: RUNTIME ERROR: MergeSampleBuffersOCL OpenCL program compilation error
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.
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: Orange Juice - Acceleration: GPU
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: RUNTIME ERROR: MergeSampleBuffersOCL OpenCL program compilation error
Scene: Danish Mood - Acceleration: GPU
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: RUNTIME ERROR: MergeSampleBuffersOCL OpenCL program compilation error
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.
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
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
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.
Benchmark: MD5
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Benchmark: SHA1
egeo-015-gpu.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
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.
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: DenseNet 201 - Device: OpenCL
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FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
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FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
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FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
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
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
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.
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.
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: S3D
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Target: OpenCL - Benchmark: Triad
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Target: OpenCL - Benchmark: GEMM SGEMM_N
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Target: OpenCL - Benchmark: Reduction
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Target: OpenCL - Benchmark: MD5 Hash
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Target: OpenCL - Benchmark: FFT SP
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Target: OpenCL - Benchmark: Max SP Flops
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
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
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
A benchmark suite for GPUs on mixed operational intensity kernels. Learn more via the OpenBenchmarking.org test page.
Backend: OpenCL - Benchmark: Integer
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Backend: OpenCL - Benchmark: Single Precision
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Backend: OpenCL - Benchmark: Double Precision
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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.
Test: OpenCL Particle Filter
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: ERROR: clCreateKernel(likelihood_kernel) failed.
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
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: what(): ArrayFire Exception (Internal error:998):
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
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
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
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: what(): ViennaCL: FATAL ERROR: CL_INVALID_PROGRAM_EXECUTABLE.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
OpenCL Test: Integer Compute INT
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Benchmark: Copy
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Benchmark: Write
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status.
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
OpenCL Test: Double-Precision Double
egeo-015-gpu_1.conf: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Benchmark: Read
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Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
OpenCL Test: Global Memory Bandwidth
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OpenCL Test: Single-Precision Float
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This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found
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
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: /cuda-build/run-gromacs: 3: /cuda-build/bin/gmx: not found
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
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100
egeo-015-gpu_1.conf: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Processor: 2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Dell 0DY2X0 (2.16.2 BIOS), Memory: 64GB, Disk: 2000GB TOSHIBA DT01ACA2, Graphics: NVIDIA Quadro RTX 5000 15GB
OS: Ubuntu 20.04.4 LTS, Kernel: 5.10.0-23-amd64 (x86_64), Display Driver: NVIDIA, Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1024x768, System Layer: docker
Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq schedutil - CPU Microcode: 0x5003302
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 16 July 2023 17:39 by user root.
Processor: 2 x Intel Xeon Silver 4208 @ 3.20GHz (16 Cores / 32 Threads), Motherboard: Dell 0DY2X0 (2.16.2 BIOS), Memory: 64GB, Disk: 2000GB TOSHIBA DT01ACA2, Graphics: NVIDIA Quadro RTX 5000 15GB
OS: Ubuntu 20.04.4 LTS, Kernel: 5.10.0-23-amd64 (x86_64), Display Driver: NVIDIA, OpenCL: OpenCL 3.0 CUDA 12.0.151, Vulkan: 1.1.182, Compiler: GCC 9.4.0 + CUDA 10.1, File-System: ext4, Screen Resolution: 1024x768, System Layer: docker
Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-Av3uEd/gcc-9-9.4.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x5003302
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB
Python Notes: Python 3.8.10
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Mitigation of Clear buffers; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled
Testing initiated at 16 July 2023 21:21 by user root.