Ryzen 3 2200G Oct

AMD Ryzen 3 2200G testing with a ASUS PRIME B350M-E (5220 BIOS) and ASUS AMD Radeon Vega / Mobile 2GB 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 2010029-FI-RYZEN322054
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Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 7 Tests
Compression Tests 2 Tests
CPU Massive 8 Tests
Creator Workloads 6 Tests
Database Test Suite 3 Tests
Fortran Tests 3 Tests
HPC - High Performance Computing 13 Tests
Imaging 3 Tests
Machine Learning 7 Tests
Molecular Dynamics 3 Tests
Multi-Core 5 Tests
NVIDIA GPU Compute 5 Tests
Programmer / Developer System Benchmarks 2 Tests
Python Tests 2 Tests
Scientific Computing 6 Tests
Server 3 Tests
Server CPU Tests 2 Tests
Single-Threaded 4 Tests
Speech 2 Tests
Telephony 2 Tests
Vulkan Compute 3 Tests

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Linux 5.4
October 01 2020
  8 Hours, 44 Minutes
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October 01 2020
  8 Hours, 34 Minutes
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October 01 2020
  9 Hours, 14 Minutes
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October 01 2020
  8 Hours, 38 Minutes
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Ryzen 3 2200G Oct Suite 1.0.0 System Test suite extracted from Ryzen 3 2200G Oct. pts/lczero-1.5.1 -b blas Backend: BLAS pts/lczero-1.5.1 -b eigen Backend: Eigen system/mpv-1.0.1 bbb_sunflower_2160p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only pts/webp-1.0.0 -q 100 -lossless Encode Settings: Quality 100, Lossless pts/keydb-1.2.0 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/ncnn-1.0.3 -1 Target: CPU - Model: googlenet pts/rnnoise-1.0.2 pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet18 pts/libraw-1.0.0 Post-Processing Benchmark pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mobilenet pts/lammps-1.2.1 in.rhodo Model: Rhodopsin Protein pts/ncnn-1.0.3 -1 Target: CPU - Model: squeezenet pts/mafft-1.6.1 Multiple Sequence Alignment - LSU RNA pts/ncnn-1.0.3 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: blazeface pts/ncnn-1.0.3 -1 Target: CPU - Model: efficientnet-b0 pts/compress-zstd-1.2.1 -b3 Compression Level: 3 pts/ncnn-1.0.3 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/aom-av1-2.1.2 --cpu-used=6 --limit=80 Encoder Mode: Speed 6 Two-Pass pts/webp-1.0.0 -q 100 Encode Settings: Quality 100 pts/byte-1.2.2 TEST_DHRY2 Computational Test: Dhrystone 2 pts/ncnn-1.0.3 -1 Target: CPU - Model: mnasnet pts/couchdb-1.0.1 100 1000 24 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 pts/hint-1.0.3 FLOAT Test: FLOAT pts/ncnn-1.0.3 -1 Target: CPU - Model: resnet50 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: yolov4-tiny pts/aom-av1-2.1.2 --cpu-used=6 --rt Encoder Mode: Speed 6 Realtime pts/ncnn-1.0.3 -1 Target: CPU - Model: alexnet pts/mlpack-1.0.2 SCIKIT_QDA Benchmark: scikit_qda pts/ffte-1.2.1 N=256, 3D Complex FFT Routine pts/aom-av1-2.1.2 --cpu-used=4 --limit=40 Encoder Mode: Speed 4 Two-Pass pts/ncnn-1.0.3 Target: Vulkan GPU - Model: alexnet pts/ncnn-1.0.3 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/system-decompress-gzip-1.1.1 pts/ncnn-1.0.3 -1 Target: CPU - Model: vgg16 pts/dolfyn-1.0.3 Computational Fluid Dynamics pts/vkfft-1.0.0 pts/mnn-1.0.1 Model: SqueezeNetV1.0 pts/aom-av1-2.1.2 --cpu-used=8 --rt Encoder Mode: Speed 8 Realtime pts/namd-1.2.1 ATPase Simulation - 327,506 Atoms system/mpv-1.0.1 bbb_sunflower_1080p_30fps_normal.mp4 --hwdec=no Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only pts/dcraw-1.1.1 RAW To PPM Image Conversion pts/webp-1.0.0 -q 100 -lossless -m 6 Encode Settings: Quality 100, Lossless, Highest Compression pts/build-gdb-1.0.1 Time To Compile pts/mlpack-1.0.2 SCIKIT_LINEARRIDGEREGRESSION Benchmark: scikit_linearridgeregression pts/hmmer-1.2.0 Pfam Database Search pts/mlpack-1.0.2 SCIKIT_SVM Benchmark: scikit_svm pts/mnn-1.0.1 Model: inception-v3 pts/ncnn-1.0.3 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.0.3 -1 Target: CPU - Model: mobilenet pts/mnn-1.0.1 Model: MobileNetV2_224 pts/espeak-1.6.0 Text-To-Speech Synthesis pts/mlpack-1.0.2 SCIKIT_ICA Benchmark: scikit_ica pts/caffe-1.5.0 --model=../models/bvlc_alexnet/deploy.prototxt -iterations 100 Model: AlexNet - Acceleration: CPU - Iterations: 100 pts/mnn-1.0.1 Model: mobilenet-v1-1.0 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: mnasnet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: shufflenet-v2 pts/caffe-1.5.0 --model=../models/bvlc_googlenet/deploy.prototxt -iterations 100 Model: GoogleNet - Acceleration: CPU - Iterations: 100 pts/tnn-1.0.0 -dt NAIVE -mp ../benchmark/benchmark-model/mobilenet_v2.tnnproto Target: CPU - Model: MobileNet v2 pts/webp-1.0.0 -q 100 -m 6 Encode Settings: Quality 100, Highest Compression 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-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: squeezenet pts/ncnn-1.0.3 Target: Vulkan GPU - Model: efficientnet-b0 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet50 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-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.0.3 Target: Vulkan GPU - Model: resnet18 pts/mnn-1.0.1 Model: resnet-v2-50 pts/webp-1.0.0 Encode Settings: Default pts/realsr-ncnn-1.0.0 -s 4 Scale: 4x - TAA: No pts/compress-zstd-1.2.1 -b19 Compression Level: 19