Intel Core i7-12700H testing with a ADL Jimny_ADH (V1.10 BIOS) and NVIDIA GeForce RTX 3060 Laptop GPU 6GB on Ubuntu 22.04 via the Phoronix Test Suite.
Processor: Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads), Motherboard: ADL Jimny_ADH (V1.10 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 128GB HFM128GDJTNG-8310A + 1024GB SAMSUNG MZVL21T0HCLR-00B07, Graphics: NVIDIA GeForce RTX 3060 Laptop GPU 6GB, Audio: Intel Alder Lake PCH-P HD Audio, Network: Realtek Device 2600 + Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 22.04, Kernel: 6.2.0-35-generic (x86_64), Desktop: KDE Plasma 5.24.7, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.113.01, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.146, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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-build-config=bootstrap-lto-lean --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_pstate powersave (EPP: performance) - CPU Microcode: 0x42c - Thermald 2.4.9
Graphics Notes: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.06.36.00.60
OpenCL Notes: GPU Compute Cores: 3840
Python Notes: Python 3.10.12
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: Not affected + spec_rstack_overflow: Not affected + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Changed Disk to 1024GB SAMSUNG MZVL21T0HCLR-00B07 + 128GB HFM128GDJTNG-8310A.
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.
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.
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
i7-12700hrtx3060: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.
Test: FFT + iFFT R2C / C2R
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in half precision
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C Bluestein in single precision
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in double precision
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in single precision
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C multidimensional in single precision
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C Bluestein benchmark in double precision
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
Test: FFT + iFFT C2C 1D batched in single precision, no reshuffling
i7-12700hrtx3060: 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: ./vkfft: 3: ./Vulkan_FFT: not found
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.
Backend: OpenCL - Benchmark: Integer
i7-12700hrtx3060: 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: ./mixbench: 3: ./mixbench-ocl-ro: not found
Backend: NVIDIA CUDA - Benchmark: Integer
i7-12700hrtx3060: 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: ./mixbench: 3: ./mixbench-cuda-ro: not found
Backend: OpenCL - Benchmark: Double Precision
i7-12700hrtx3060: 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: ./mixbench: 3: ./mixbench-ocl-ro: not found
Backend: OpenCL - Benchmark: Single Precision
i7-12700hrtx3060: 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: ./mixbench: 3: ./mixbench-ocl-ro: not found
Backend: NVIDIA CUDA - Benchmark: Half Precision
i7-12700hrtx3060: 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: ./mixbench: 3: ./mixbench-cuda-ro: not found
Backend: NVIDIA CUDA - Benchmark: Double Precision
i7-12700hrtx3060: 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: ./mixbench: 3: ./mixbench-cuda-ro: not found
Backend: NVIDIA CUDA - Benchmark: Single Precision
i7-12700hrtx3060: 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: ./mixbench: 3: ./mixbench-cuda-ro: 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.
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.
i7-12700hrtx3060: 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: fatal: Failed initializing vulkan device
A basic OpenCL memory benchmark. 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.
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.
Codec: ETC1 - Quality: Highest
i7-12700hrtx3060: 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: ./betsy: 3: ./betsy: not found
Codec: ETC2 RGB - Quality: Highest
i7-12700hrtx3060: 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: ./betsy: 3: ./betsy: 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: Double
i7-12700hrtx3060: 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.
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.
This is a test of MAXON's RedShift demo build that currently requires NVIDIA GPU acceleration. Learn more via the OpenBenchmarking.org test page.
i7-12700hrtx3060: 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
FAHBench is a Folding@Home benchmark on the GPU. 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.
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.
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.
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.
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.
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.
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.
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
i7-12700hrtx3060: 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: ./gromacs: 5: /cuda-build/run-gromacs: 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: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100
i7-12700hrtx3060: 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
i7-12700hrtx3060: 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
i7-12700hrtx3060: 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
i7-12700hrtx3060: 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
i7-12700hrtx3060: 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: 1000
i7-12700hrtx3060: 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
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 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
i7-12700hrtx3060: 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: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)
FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL
i7-12700hrtx3060: 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: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)
FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL
i7-12700hrtx3060: 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: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)
FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL
i7-12700hrtx3060: 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: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)
FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL
i7-12700hrtx3060: 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: ImportError: cannot import name 'Iterable' from 'collections' (/usr/lib/python3.10/collections/__init__.py)
Processor: Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads), Motherboard: ADL Jimny_ADH (V1.10 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 128GB HFM128GDJTNG-8310A + 1024GB SAMSUNG MZVL21T0HCLR-00B07, Graphics: NVIDIA GeForce RTX 3060 Laptop GPU 6GB, Audio: Intel Alder Lake PCH-P HD Audio, Network: Realtek Device 2600 + Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 22.04, Kernel: 6.2.0-35-generic (x86_64), Desktop: KDE Plasma 5.24.7, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.113.01, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.146, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/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-build-config=bootstrap-lto-lean --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_pstate powersave (EPP: performance) - CPU Microcode: 0x42c - Thermald 2.4.9
Graphics Notes: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.06.36.00.60
OpenCL Notes: GPU Compute Cores: 3840
Python Notes: Python 3.10.12
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: Not affected + spec_rstack_overflow: Not affected + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 27 October 2023 10:43 by user stedix.
Processor: Intel Core i7-12700H @ 4.60GHz (14 Cores / 20 Threads), Motherboard: ADL Jimny_ADH (V1.10 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB SAMSUNG MZVL21T0HCLR-00B07 + 128GB HFM128GDJTNG-8310A, Graphics: NVIDIA GeForce RTX 3060 Laptop GPU 6GB, Audio: Intel Alder Lake PCH-P HD Audio, Network: Realtek Device 2600 + Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 22.04, Kernel: 6.2.0-35-generic (x86_64), Desktop: KDE Plasma 5.24.7, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.113.01, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.2.146, Vulkan: 1.3.238, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x42c - Thermald 2.4.9
Graphics Notes: BAR1 / Visible vRAM Size: 8192 MiB - vBIOS Version: 94.06.36.00.60
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: Not affected + spec_rstack_overflow: Not affected + 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 IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 30 October 2023 11:52 by user stedix.