nvidia-tests

AMD FX-8350 Eight-Core testing with a ASUS SABERTOOTH 990FX R2.0 (2901 BIOS) and MSI NVIDIA GeForce GT 1030 2GB on Gentoo/Linux via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2111177-TJ-NVIDIATES81
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Creator Workloads 3 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 3 Tests
NVIDIA GPU Compute 13 Tests
OpenCL 2 Tests
Renderers 2 Tests
Vulkan Compute 5 Tests

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  Test
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Gentoo
November 13 2021
  13 Hours, 35 Minutes
Gentoo_OC
November 13 2021
  8 Hours, 59 Minutes
Win10_OC
November 14 2021
  3 Hours, 59 Minutes
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  8 Hours, 51 Minutes

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nvidia-tests Suite 1.0.0 System Test suite extracted from nvidia-tests . pts/neatbench-1.0.4 cpu Acceleration: CPU pts/neatbench-1.0.4 gpu Acceleration: GPU pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/cl-mem-1.0.1 READ Benchmark: Read pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/clpeak-1.0.1 --global-bandwidth OpenCL Test: Global Memory Bandwidth pts/clpeak-1.0.1 --transfer-bandwidth #read OpenCL Test: Transfer Bandwidth enqueueReadBuffer pts/clpeak-1.0.1 --transfer-bandwidth #write OpenCL Test: Transfer Bandwidth enqueueWriteBuffer pts/clpeak-1.0.1 --compute-sp OpenCL Test: Single-Precision Float pts/clpeak-1.0.1 --compute-dp OpenCL Test: Double-Precision Double pts/vkpeak-1.0.2 fp32-scalar pts/vkpeak-1.0.2 fp32-vec4 pts/vkpeak-1.0.2 fp64-scalar pts/vkpeak-1.0.2 fp64-vec4 pts/clpeak-1.0.1 --compute-integer OpenCL Test: Integer Compute INT pts/vkpeak-1.0.2 int32-scalar pts/vkpeak-1.0.2 int32-vec4 pts/indigobench-1.1.0 --cpuonly --scenes bedroom Acceleration: CPU - Scene: Bedroom pts/indigobench-1.1.0 --cpuonly --scenes supercar Acceleration: CPU - Scene: Supercar pts/indigobench-1.1.0 --gpuonly --scenes bedroom Acceleration: OpenCL GPU - Scene: Bedroom pts/indigobench-1.1.0 --gpuonly --scenes supercar Acceleration: OpenCL GPU - Scene: Supercar pts/luxcorerender-1.3.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: DLSC - Acceleration: GPU pts/luxcorerender-1.3.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Danish Mood - Acceleration: GPU pts/luxcorerender-1.3.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Orange Juice - Acceleration: GPU pts/luxcorerender-1.3.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: LuxCore Benchmark - Acceleration: GPU pts/luxcorerender-1.3.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHOCL -D opencl.native.threads.count 0 -D context.cuda.optix.enable 0 Scene: Rainbow Colors and Prism - Acceleration: GPU pts/luxcorerender-1.3.0 DLSC/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: DLSC - Acceleration: CPU pts/luxcorerender-1.3.0 DanishMood/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Danish Mood - Acceleration: CPU pts/luxcorerender-1.3.0 OrangeJuice/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Orange Juice - Acceleration: CPU pts/luxcorerender-1.3.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: LuxCore Benchmark - Acceleration: CPU pts/luxcorerender-1.3.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg -D renderengine.type PATHCPU Scene: Rainbow Colors and Prism - Acceleration: CPU pts/lczero-1.6.0 -b blas Backend: BLAS pts/lczero-1.6.0 -b eigen Backend: Eigen pts/lczero-1.6.0 -b opencl Backend: OpenCL pts/lczero-1.6.0 -b cudnn Backend: CUDA + cuDNN pts/fahbench-1.0.2 pts/octanebench-1.3.0 Total Score pts/ncnn-1.3.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.3.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.3.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.3.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.3.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.3.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.3.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.3.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.3.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.3.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.3.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.3.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.3.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.3.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.3.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.3.0 Target: Vulkan GPU pts/ncnn-1.3.0 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.3.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.3.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.3.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.3.0 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.3.0 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.3.0 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.3.0 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.3.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/ncnn-1.3.0 Target: Vulkan GPU - Model: regnety_400m pts/vkresample-1.0.0 -u 2 -p 1 Upscale: 2x - Precision: Double pts/vkresample-1.0.0 -u 2 -p 0 Upscale: 2x - Precision: Single pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 Scale: 2x - Denoise: 3 - TAA: No pts/waifu2x-ncnn-1.0.0 -s 2 -n 3 -x Scale: 2x - Denoise: 3 - TAA: Yes pts/clpeak-1.0.1 --kernel-latency OpenCL Test: Kernel Latency