AMD Ryzen 9 7900X3D 12-Core testing with a ASUS ProArt B650-CREATOR (2007 BIOS) and ASUS NVIDIA GeForce RTX 3070 8GB on Ubuntu 24.04 via the Phoronix Test Suite.
Processor: AMD Ryzen 9 7900X3D 12-Core @ 5.66GHz (12 Cores / 24 Threads), Motherboard: ASUS ProArt B650-CREATOR (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32 GB DDR5-4800MT/s Kingston KF556C36-32, Disk: 2000GB Samsung SSD 990 PRO 2TB, Graphics: ASUS NVIDIA GeForce RTX 3070 8GB, Audio: NVIDIA GA104 HD Audio, Monitor: HP E242, Network: Realtek RTL8111/8168/8211/8411 + Realtek RTL8125 2.5GbE
OS: Ubuntu 24.04, Kernel: 6.8.0-47-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11, Display Driver: NVIDIA 560.35.03, Compiler: GCC 13.2.0 + CUDA 12.6, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601206
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.3a.40.2d
OpenCL Notes: GPU Compute Cores: 5888
Python Notes: Python 3.12.3
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 + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
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.
This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
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.
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.
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.
FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
OctaneBench is a test of the OctaneRender on the GPU and requires the use of NVIDIA CUDA. Learn more via the OpenBenchmarking.org test page.
Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.
NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. This version of the NAMD test profile uses CUDA GPU acceleration. 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.
Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.
RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. 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
test_002: The test quit with a non-zero exit status. E: ./mandelGPU: error while loading shared libraries: libglut.so.3: cannot open shared object file: No such file or directory
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
test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL
test_002: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'tensorflow'
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.
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
test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000
test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200
test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100
test_002: The test quit with a non-zero exit status. E: ./caffe: 3: ./tools/caffe: not found
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
test_002: The test quit with a non-zero exit status. E: ./viennacl: 2: ./ViennaCL-1.7.1/build/examples/benchmarks/dense_blas-bench-opencl: not found
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.
Benchmark: Black-Scholes OpenCL
test_002: The test quit with a non-zero exit status. E: ./financebench: line 4: ./blackScholesAnalyticEngine.exe: No such file or directory
Test: Conjugate Gradient OpenCL
test_002: The test run did not produce a result. E: ./arrayfire: 7: ./cg_opencl: not found
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
test_002: The test quit with a non-zero exit status. E: ./rodinia: 49: ./OCL_particlefilter_double: not found
Backend: OpenCL
test_002: The test quit with a non-zero exit status. E: ./lczero: line 3: ./lc0: No such file or directory
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
OpenCL Test: Global Memory Bandwidth
test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found
OpenCL Test: Double-Precision Double
test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found
OpenCL Test: Single-Precision Float
test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found
OpenCL Test: Integer Compute INT
test_002: The test run did not produce a result. E: ./clpeak: 3: ./clpeak: not found
This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.
test_002: The test quit with a non-zero exit status. E: ./redshift: 3: /usr/redshift/bin/redshiftBenchmark: not found
VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.
Upscale: 2x - Precision: Single
test_002: The test quit with a non-zero exit status. E: ./vkresample: 3: ./VkResample: not found
Upscale: 2x - Precision: Double
test_002: The test quit with a non-zero exit status. E: ./vkresample: 3: ./VkResample: not found
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
Benchmark: Write
test_002: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found
Benchmark: Read
test_002: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found
Benchmark: Copy
test_002: The test quit with a non-zero exit status. E: ./cl-mem: 3: ./cl-mem: not found
Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.
test_002: The test quit with a non-zero exit status. E: ./libplacebo: 3: ./src/bench: not found
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
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: Bus Speed Readback
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: Bus Speed Download
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: Max SP Flops
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: GEMM SGEMM_N
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: Reduction
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: MD5 Hash
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: FFT SP
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: Triad
test_002: The test quit with a non-zero exit status.
Target: OpenCL - Benchmark: S3D
test_002: 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: Single Precision
test_002: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found
Backend: OpenCL - Benchmark: Double Precision
test_002: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found
Backend: OpenCL - Benchmark: Integer
test_002: The test quit with a non-zero exit status. E: ./mixbench: 3: ./mixbench-ocl-ro: not found
VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.
Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Test: FFT + iFFT C2C Bluestein benchmark in double precision
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Test: FFT + iFFT C2C multidimensional in single precision
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Test: FFT + iFFT C2C 1D batched in single precision
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Test: FFT + iFFT C2C 1D batched in double precision
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Test: FFT + iFFT C2C Bluestein in single precision
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Test: FFT + iFFT C2C 1D batched in half precision
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Test: FFT + iFFT R2C / C2R
test_002: The test quit with a non-zero exit status. E: ./vkfft: 3: ./VkFFT_TestSuite: not found
Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.
Scale: 2x - Denoise: 3 - TAA: No
test_002: The test run did not produce a result.
Vkpeak is a Vulkan compute benchmark inspired by OpenCL's clpeak. Vkpeak provides Vulkan compute performance measurements for FP16 / FP32 / FP64 / INT16 / INT32 scalar and vec4 performance. Learn more via the OpenBenchmarking.org test page.
test_002: The test quit with a non-zero exit status.
Processor: AMD Ryzen 9 7900X3D 12-Core @ 5.66GHz (12 Cores / 24 Threads), Motherboard: ASUS ProArt B650-CREATOR (2007 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 32 GB DDR5-4800MT/s Kingston KF556C36-32, Disk: 2000GB Samsung SSD 990 PRO 2TB, Graphics: ASUS NVIDIA GeForce RTX 3070 8GB, Audio: NVIDIA GA104 HD Audio, Monitor: HP E242, Network: Realtek RTL8111/8168/8211/8411 + Realtek RTL8125 2.5GbE
OS: Ubuntu 24.04, Kernel: 6.8.0-47-generic (x86_64), Desktop: GNOME Shell 46.0, Display Server: X Server 1.21.1.11, Display Driver: NVIDIA 560.35.03, Compiler: GCC 13.2.0 + CUDA 12.6, File-System: ext4, Screen Resolution: 1920x1200
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-gcn/usr --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: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601206
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.04.3a.40.2d
OpenCL Notes: GPU Compute Cores: 5888
Python Notes: Python 3.12.3
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 + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 18 October 2024 12:17 by user root.