AMD Ryzen 9 3950X + GeForce RTX 3080

AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and NVIDIA GeForce RTX 3080 10GB on Ubuntu 20.04 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 2010077-PTS-AMDRYZEN73
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
GeForce RTX 3080
October 06 2020
  2 Hours, 7 Minutes
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AMD Ryzen 9 3950X + GeForce RTX 3080 Suite 1.0.0 System Test suite extracted from AMD Ryzen 9 3950X + GeForce RTX 3080. pts/clpeak-1.0.1 --global-bandwidth OpenCL Test: Global Memory Bandwidth pts/clpeak-1.0.1 --compute-dp OpenCL Test: Double-Precision Double pts/clpeak-1.0.1 --compute-sp OpenCL Test: Single-Precision Float pts/clpeak-1.0.1 --compute-integer OpenCL Test: Integer Compute INT pts/mandelgpu-1.3.1 0 1 OpenCL Device: GPU pts/blender-1.8.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Pabellon Barcelona - Compute: CUDA pts/blender-1.8.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Barbershop - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Fishy Cat - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Classroom - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: BMW27 - Compute: NVIDIA OptiX pts/blender-1.8.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Barbershop - Compute: CUDA pts/blender-1.8.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Fishy Cat - Compute: CUDA pts/blender-1.8.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: Classroom - Compute: CUDA pts/blender-1.8.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 CUDA Blend File: BMW27 - Compute: CUDA pts/plaidml-1.0.4 --no-fp16 --no-train nasnet_large OPENCL FP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train inception_v3 OPENCL FP16: No - Mode: Inference - Network: Inception V3 - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train densenet201 OPENCL FP16: No - Mode: Inference - Network: DenseNet 201 - Device: OpenCL pts/plaidml-1.0.4 --fp16 --no-train mobilenet OPENCL FP16: Yes - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train resnet50 OPENCL FP16: No - Mode: Inference - Network: ResNet 50 - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train mobilenet OPENCL FP16: No - Mode: Inference - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train imdb_lstm OPENCL FP16: No - Mode: Inference - Network: IMDB LSTM - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --train mobilenet OPENCL FP16: No - Mode: Training - Network: Mobilenet - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train vgg19 OPENCL FP16: No - Mode: Inference - Network: VGG19 - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train vgg16 OPENCL FP16: No - Mode: Inference - Network: VGG16 - Device: OpenCL pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 1000 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 1000 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 200 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -gpu all -iterations 100 Model: GoogleNet - Acceleration: NVIDIA CUDA - Iterations: 100 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 1000 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 1000 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 200 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 200 pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -gpu all -iterations 100 Model: AlexNet - Acceleration: NVIDIA CUDA - Iterations: 100 pts/arrayfire-1.1.0 cg_opencl Test: Conjugate Gradient OpenCL pts/rodinia-1.3.1 OCL_PARTICLEFILTER Test: OpenCL Particle Filter pts/lczero-1.5.1 -b opencl Backend: OpenCL pts/fahbench-1.0.2 pts/luxcorerender-cl-1.2.0 RainbowColorsAndPrism/LuxCoreScene/render.cfg Scene: Rainbow Colors and Prism pts/luxcorerender-cl-1.2.0 LuxCore2.1Benchmark/LuxCoreScene/render.cfg Scene: LuxCore Benchmark pts/luxcorerender-cl-1.2.0 Food/LuxCoreScene/render.cfg Scene: Food pts/luxcorerender-cl-1.2.0 DLSC/LuxCoreScene/render.cfg Scene: DLSC pts/redshift-1.0.1 pts/octanebench-1.3.0 Total Score pts/namd-cuda-1.1.1 ATPase Simulation - 327,506 Atoms pts/cl-mem-1.0.1 WRITE Benchmark: Write pts/cl-mem-1.0.1 READ Benchmark: Read pts/cl-mem-1.0.1 COPY Benchmark: Copy pts/viennacl-1.0.0 OpenCL LU Factorization pts/gromacs-gpu-1.1.0 Water Benchmark pts/mixbench-1.1.1 mixbench-ocl-ro SPGFLOPS Backend: OpenCL - Benchmark: Single Precision pts/mixbench-1.1.1 mixbench-ocl-ro DPGFLOPS Backend: OpenCL - Benchmark: Double Precision pts/mixbench-1.1.1 mixbench-ocl-ro GIOPS Backend: OpenCL - Benchmark: Integer pts/financebench-1.0.0 Black-Scholes/OpenCL/blackScholesAnalyticEngine.exe Benchmark: Black-Scholes OpenCL pts/vkfft-1.0.0 pts/mixbench-1.1.1 mixbench-cuda-ro SPGFLOPS Backend: NVIDIA CUDA - Benchmark: Single Precision pts/mixbench-1.1.1 mixbench-cuda-ro DPGFLOPS Backend: NVIDIA CUDA - Benchmark: Double Precision pts/mixbench-1.1.1 mixbench-cuda-ro HPGFLOPS Backend: NVIDIA CUDA - Benchmark: Half Precision pts/mixbench-1.1.1 mixbench-cuda-ro GIOPS Backend: NVIDIA CUDA - Benchmark: Integer