3900X New Tests

AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB 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 2009250-PTS-3900XNEW05
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Creator Workloads 4 Tests
HPC - High Performance Computing 3 Tests
Imaging 3 Tests
Machine Learning 3 Tests
NVIDIA GPU Compute 2 Tests
Single-Threaded 2 Tests
Vulkan Compute 2 Tests

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September 25 2020
  2 Hours, 40 Minutes
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September 25 2020
  2 Hours, 7 Minutes
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September 25 2020
  2 Hours, 22 Minutes
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3900X New Tests Suite 1.0.0 System Test suite extracted from 3900X New Tests. pts/opencv-1.0.0 features2d Test: Features 2D pts/opencv-1.0.0 objdetect Test: Object Detection pts/realsr-ncnn-1.0.0 -s 4 -x Scale: 4x - TAA: Yes 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/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/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/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 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 - Model: efficientnet-b0 pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 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/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/espeak-1.6.0 Text-To-Speech Synthesis pts/dcraw-1.1.1 RAW To PPM Image Conversion pts/ncnn-1.0.3 Target: Vulkan GPU - Model: yolov4-tiny pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet50 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: vgg16 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: googlenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.0.3 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 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 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/libraw-1.0.0 Post-Processing Benchmark system/mpv-1.0.1 bbb_sunflower_2160p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only pts/opencv-1.0.0 dnn Test: DNN - Deep Neural Network pts/osbench-1.0.2 create_threads.exe Test: Create Threads pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/squeezenet_v1.1.tnnproto Target: CPU - Model: SqueezeNet v1.1 pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless 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 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression pts/osbench-1.0.2 create_files.exe target Test: Create Files pts/osbench-1.0.2 mem_alloc.exe Test: Memory Allocations pts/osbench-1.0.2 create_processes.exe Test: Create Processes pts/osbench-1.0.2 launch_programs.exe Test: Launch Programs pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/webp-1.0.0 Encode Settings: Default