3300X NN + More

AMD Ryzen 7 1700 Eight-Core testing with a MSI B350 TOMAHAWK (MS-7A34) v1.0 (1.H0 BIOS) and AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 19.10 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 2009269-FI-3300XNNMO11
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Creator Workloads 4 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 9 Tests
Imaging 3 Tests
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MPI Benchmarks 4 Tests
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OpenMPI Tests 4 Tests
Python Tests 2 Tests
Scientific Computing 5 Tests
Single-Threaded 2 Tests
Vulkan Compute 2 Tests

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September 25 2020
  10 Hours, 1 Minute
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September 25 2020
  8 Hours, 29 Minutes
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September 26 2020
 
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September 26 2020
  11 Hours, 5 Minutes
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3300X NN + More Suite 1.0.0 System Test suite extracted from 3300X NN + More. pts/influxdb-1.0.0 -c 64 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/osbench-1.0.2 launch_programs.exe Test: Launch Programs pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/lammps-1.2.1 in.rhodo Model: Rhodopsin Protein pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/osbench-1.0.2 create_processes.exe Test: Create Processes pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/mnn-1.0.1 Model: inception-v3 pts/osbench-1.0.2 create_threads.exe Test: Create Threads pts/osbench-1.0.2 create_files.exe target Test: Create Files pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/mnn-1.0.1 Model: MobileNetV2_224 pts/lammps-1.2.1 benchmark_20k_atoms.in Model: 20k Atoms pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/mnn-1.0.1 Model: resnet-v2-50 pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/dcraw-1.1.1 RAW To PPM Image Conversion pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: efficientnet-b0 pts/incompact3d-1.0.0 examples/Cylinder/input.i3d Input: Cylinder pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: yolov4-tiny pts/gpaw-1.0.0 carbon-nanotube Input: Carbon Nanotube pts/ncnn-1.0.3 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet18 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet50 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 system/mpv-1.0.1 bbb_sunflower_1080p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only pts/webp-1.0.0 Encode Settings: Default pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: alexnet pts/libraw-1.0.0 Post-Processing Benchmark pts/ncnn-1.0.3 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 pts/glmark2-1.2.0 -s 1280x1024 Resolution: 1280 x 1024 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mnasnet system/mpv-1.0.1 bbb_sunflower_2160p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only pts/osbench-1.0.2 mem_alloc.exe Test: Memory Allocations pts/ncnn-1.0.3 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/glmark2-1.2.0 -s 1920x1080 Resolution: 1920 x 1080 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mobilenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: squeezenet pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/ncnn-1.0.3 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: googlenet pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes pts/kripke-1.0.0 pts/mocassin-1.0.0 Input: Dust 2D tau100.0 pts/influxdb-1.0.0 -c 1024 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/influxdb-1.0.0 -c 4 -b 10000 -t 2,5000,1 -p 10000 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 pts/opencv-1.0.0 dnn Test: DNN - Deep Neural Network pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/espeak-1.6.0 Text-To-Speech Synthesis