plaidml-blender-for-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 2010065-PTS-PLAIDMLB85
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CPU Massive 2 Tests
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Identifier
Performance Per
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Date
Run
  Test
  Duration
RTX 3080
October 06 2020
  1 Hour, 15 Minutes
GeForce RTX 3080
October 06 2020
  13 Minutes
2
October 06 2020
  1 Hour, 23 Minutes
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October 06 2020
  1 Hour, 23 Minutes
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plaidml-blender-for-geforce-rtx-3080 Suite 1.0.0 System Test suite extracted from plaidml-blender-for-geforce-rtx-3080 . pts/plaidml-1.0.4 --no-fp16 --train vgg16 OPENCL FP16: No - Mode: Training - Network: VGG16 - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --train vgg19 OPENCL FP16: No - Mode: Training - Network: VGG19 - Device: OpenCL pts/plaidml-1.0.4 --no-fp16 --no-train vgg16 OPENCL FP16: No - Mode: Inference - Network: VGG16 - 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 --train mobilenet OPENCL FP16: No - Mode: Training - 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 --no-train mobilenet OPENCL FP16: No - 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 --fp16 --no-train mobilenet OPENCL FP16: Yes - Mode: Inference - Network: Mobilenet - 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 --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 nasnet_large OPENCL FP16: No - Mode: Inference - Network: NASNer Large - Device: OpenCL pts/fahbench-1.0.2 pts/octanebench-1.3.0 Total Score 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/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 ../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 ../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 ../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 ../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 ../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 ../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 ../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 ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 OPTIX Blend File: Pabellon Barcelona - Compute: NVIDIA OptiX