2307020-PTS-GPUREVIEW1
RTX 4080 16GB PNY REVIEW
RTX 3090 24GB -Zotac
Processor: Intel Xeon w9-3495X @ 4.80GHz (56 Cores / 112 Threads), Motherboard: ASUS Pro WS W790E-SAGE SE (0506 BIOS), Chipset: Intel Device 7aa7, Memory: 8 x 32 GB DDR5-4812MT/s Hynix HMCG88AEBRA115N, Disk: 6401GB Micron_9300_MTFDHAL6T4TDR + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 3090 24GB, Audio: Realtek ALC1220, Monitor: BenQ PD2720U, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 22.04, Kernel: 6.3.0-060300-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 530.41.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.1.98, Vulkan: 1.3.236, Compiler: GCC 11.3.0 + CUDA 12.1, File-System: ext4, Screen Resolution: 3840x2160
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-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/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: 0x2b000390
Graphics Notes: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 94.02.26.48.65
OpenCL Notes: GPU Compute Cores: 10496
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
RTX 2080 Ti 22GB -Dell
Changed Graphics to NVIDIA GeForce RTX 2080 Ti 22GB.
Graphics Change: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.02.30.40.4d
OpenCL Change: GPU Compute Cores: 4352
RTX 4090 24GB -Nvidia
Changed Graphics to NVIDIA GeForce RTX 4090 24GB.
Graphics Change: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 95.02.20.00.03
OpenCL Change: GPU Compute Cores: 16384
RTX 4080 16GB -Pny
Changed Graphics to NVIDIA GeForce RTX 4080 16GB.
Graphics Change: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 95.03.0e.00.67
OpenCL Change: GPU Compute Cores: 9728
Hashcat
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.
FAHBench
FAHBench is a Folding@Home benchmark on the GPU. Learn more via the OpenBenchmarking.org test page.
GROMACS
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.
NAMD CUDA
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.
OctaneBench
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.
Rodinia
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
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.
clpeak
Clpeak is designed to test the peak capabilities of OpenCL devices. Learn more via the OpenBenchmarking.org test page.
NeatBench
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.
FinanceBench
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.
LeelaChessZero
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.
cl-mem
A basic OpenCL memory benchmark. Learn more via the OpenBenchmarking.org test page.
MandelGPU
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.
ViennaCL
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.
SHOC Scalable HeterOgeneous Computing
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.
IndigoBench
This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.
Chaos Group V-RAY
This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.
Blender
Caffe
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
RTX 2080 Ti 22GB -Dell: 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: @ 0x7f50d65e678f google::LogMessageFatal::~LogMessageFatal()
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200
RTX 2080 Ti 22GB -Dell: 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: @ 0x7efdd9bea78f google::LogMessageFatal::~LogMessageFatal()
Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000
RTX 2080 Ti 22GB -Dell: 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: @ 0x7f3f7313f78f google::LogMessageFatal::~LogMessageFatal()
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100
RTX 2080 Ti 22GB -Dell: 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: @ 0x7f4bd97dc78f google::LogMessageFatal::~LogMessageFatal()
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200
RTX 2080 Ti 22GB -Dell: 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: @ 0x7f1cb2fce78f google::LogMessageFatal::~LogMessageFatal()
Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000
RTX 2080 Ti 22GB -Dell: 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: @ 0x7f92f815c78f google::LogMessageFatal::~LogMessageFatal()
VkFFT
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.
VkResample
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.
vkpeak
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.
NCNN
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.
RealSR-NCNN
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 Vulkan
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.
GPU Power Consumption Monitor
GPU Temperature Monitor
RTX 3090 24GB -Zotac
Processor: Intel Xeon w9-3495X @ 4.80GHz (56 Cores / 112 Threads), Motherboard: ASUS Pro WS W790E-SAGE SE (0506 BIOS), Chipset: Intel Device 7aa7, Memory: 8 x 32 GB DDR5-4812MT/s Hynix HMCG88AEBRA115N, Disk: 6401GB Micron_9300_MTFDHAL6T4TDR + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 3090 24GB, Audio: Realtek ALC1220, Monitor: BenQ PD2720U, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 22.04, Kernel: 6.3.0-060300-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 530.41.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.1.98, Vulkan: 1.3.236, Compiler: GCC 11.3.0 + CUDA 12.1, File-System: ext4, Screen Resolution: 3840x2160
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-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/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: 0x2b000390
Graphics Notes: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 94.02.26.48.65
OpenCL Notes: GPU Compute Cores: 10496
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 2 July 2023 10:12 by user root.
RTX 2080 Ti 22GB -Dell
Processor: Intel Xeon w9-3495X @ 4.80GHz (56 Cores / 112 Threads), Motherboard: ASUS Pro WS W790E-SAGE SE (0506 BIOS), Chipset: Intel Device 7aa7, Memory: 8 x 32 GB DDR5-4812MT/s Hynix HMCG88AEBRA115N, Disk: 6401GB Micron_9300_MTFDHAL6T4TDR + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 2080 Ti 22GB, Audio: Realtek ALC1220, Monitor: BenQ PD2720U, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 22.04, Kernel: 6.3.0-060300-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 530.41.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.1.98, Vulkan: 1.3.236, Compiler: GCC 11.3.0 + CUDA 12.1, File-System: ext4, Screen Resolution: 3840x2160
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-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/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: 0x2b000390
Graphics Notes: BAR1 / Visible vRAM Size: 256 MiB - vBIOS Version: 90.02.30.40.4d
OpenCL Notes: GPU Compute Cores: 4352
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 July 2023 00:00 by user root.
RTX 4090 24GB -Nvidia
Processor: Intel Xeon w9-3495X @ 4.80GHz (56 Cores / 112 Threads), Motherboard: ASUS Pro WS W790E-SAGE SE (0506 BIOS), Chipset: Intel Device 7aa7, Memory: 8 x 32 GB DDR5-4812MT/s Hynix HMCG88AEBRA115N, Disk: 6401GB Micron_9300_MTFDHAL6T4TDR + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 4090 24GB, Audio: Realtek ALC1220, Monitor: BenQ PD2720U, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 22.04, Kernel: 6.3.0-060300-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 530.41.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.1.98, Vulkan: 1.3.236, Compiler: GCC 11.3.0 + CUDA 12.1, File-System: ext4, Screen Resolution: 3840x2160
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-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/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: 0x2b000390
Graphics Notes: BAR1 / Visible vRAM Size: 32768 MiB - vBIOS Version: 95.02.20.00.03
OpenCL Notes: GPU Compute Cores: 16384
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 6 July 2023 21:57 by user root.
RTX 4080 16GB -Pny
Processor: Intel Xeon w9-3495X @ 4.80GHz (56 Cores / 112 Threads), Motherboard: ASUS Pro WS W790E-SAGE SE (0506 BIOS), Chipset: Intel Device 7aa7, Memory: 8 x 32 GB DDR5-4812MT/s Hynix HMCG88AEBRA115N, Disk: 6401GB Micron_9300_MTFDHAL6T4TDR + 0GB Virtual HDisk0, Graphics: NVIDIA GeForce RTX 4080 16GB, Audio: Realtek ALC1220, Monitor: BenQ PD2720U, Network: 2 x Intel X710 for 10GBASE-T
OS: Ubuntu 22.04, Kernel: 6.3.0-060300-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 530.41.03, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.1.98, Vulkan: 1.3.236, Compiler: GCC 11.3.0 + CUDA 12.1, File-System: ext4, Screen Resolution: 3840x2160
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-aYxV0E/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-aYxV0E/gcc-11-11.3.0/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: 0x2b000390
Graphics Notes: BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 95.03.0e.00.67
OpenCL Notes: GPU Compute Cores: 9728
Python Notes: Python 3.10.6
Security Notes: itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 7 July 2023 13:56 by user root.