dsd

AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 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 2306281-NE-DSD51976978
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AV1 2 Tests
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June 27 2023
  4 Hours, 27 Minutes
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June 28 2023
  4 Hours, 25 Minutes
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June 28 2023
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dsd Suite 1.0.0 System Test suite extracted from dsd. pts/srsran-2.1.0 tests/benchmarks/phy/upper/downlink_processor_benchmark -R 50000 -P pdsch_scs15_50MHz_256qam_max Test: Downlink Processor Benchmark pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 57 Threads: 4 - Buffer Length: 256 - Filter Length: 57 pts/stress-ng-1.10.0 --sem -1 --no-rand-seed Test: Semaphores pts/stress-ng-1.10.0 --matrix-3d -1 --no-rand-seed Test: Matrix 3D Math pts/liquid-dsp-1.6.0 -n 12 -b 256 -f 32 Threads: 12 - Buffer Length: 256 - Filter Length: 32 pts/stress-ng-1.10.0 --cache -1 --no-rand-seed Test: CPU Cache pts/qmcpack-1.6.0 tests/molecules/Li2_STO_ae Li2.STO.long.in.xml Input: Li2_STO_ae pts/leveldb-1.1.0 --benchmarks=readhot --num=1000000 Benchmark: Hot Read pts/stress-ng-1.10.0 --fork -1 --no-rand-seed Test: Forking pts/leveldb-1.1.0 --benchmarks=readrandom --num=1000000 Benchmark: Random Read pts/stress-ng-1.10.0 --fp -1 --no-rand-seed Test: Floating Point pts/deepsparse-1.5.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.0 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario async Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream pts/qmcpack-1.6.0 tests/molecules/O_ae_pyscf_UHF vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms pts/leveldb-1.1.0 --benchmarks=fillsync --num=1000000 Benchmark: Fill Sync pts/leveldb-1.1.0 --benchmarks=fillseq --num=500000 Benchmark: Sequential Fill pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_thread -R 100 -P pusch_scs15_50MHz_256qam_max -T 1 Test: PUSCH Processor Benchmark, Throughput Thread pts/svt-av1-2.9.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/qmcpack-1.6.0 tests/molecules/FeCO6_b3lyp_gms vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms pts/svt-av1-2.9.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/stress-ng-1.10.0 --io-uring -1 --no-rand-seed Test: IO_uring pts/deepsparse-1.5.0 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario async Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream pts/cp2k-1.4.1 -i benchmarks/QS/H2O-64.inp Input: H20-64 pts/nekrs-1.1.0 kershaw kershaw.par Input: Kershaw pts/stress-ng-1.10.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/hpcg-1.3.0 --nx=104 --ny=104 --nz=104 --rt=60 X Y Z: 104 104 104 - RT: 60 pts/stress-ng-1.10.0 --pthread -1 --no-rand-seed Test: Pthread pts/embree-1.5.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/deepsparse-1.5.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario sync Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario sync Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream pts/deepsparse-1.5.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/stress-ng-1.10.0 --mmap -1 --no-rand-seed Test: MMAP pts/leveldb-1.1.0 --benchmarks=deleterandom --num=500000 Benchmark: Random Delete pts/leveldb-1.1.0 --benchmarks=fillrandom --num=100000 Benchmark: Random Fill pts/blender-3.6.0 -b ../classroom_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Classroom - Compute: CPU-Only pts/leveldb-1.1.0 --benchmarks=overwrite --num=100000 Benchmark: Overwrite pts/srsran-2.1.0 tests/benchmarks/phy/upper/channel_processors/pusch_processor_benchmark -m throughput_total -R 100 -P pusch_scs15_50MHz_256qam_max Test: PUSCH Processor Benchmark, Throughput Total pts/libxsmm-1.0.1 256 256 256 M N K: 256 pts/stress-ng-1.10.0 --memfd -1 --no-rand-seed Test: MEMFD pts/stress-ng-1.10.0 --pipe -1 --no-rand-seed Test: Pipe pts/mocassin-1.1.0 gas/HII40 Input: Gas HII40 pts/stress-ng-1.10.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/stress-ng-1.10.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/deepsparse-1.5.0 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario sync Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream pts/blender-3.6.0 -b ../pavillon_barcelone_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Pabellon Barcelona - Compute: CPU-Only pts/deepsparse-1.5.0 zoo:nlp/sentiment_analysis/bert-base/pytorch/huggingface/sst2/12layer_pruned90-none --scenario async Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream pts/libxsmm-1.0.1 128 128 128 M N K: 128 pts/gpaw-1.2.0 carbon-nanotube Input: Carbon Nanotube pts/blender-3.6.0 -b ../bmw27_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: BMW27 - Compute: CPU-Only pts/qmcpack-1.6.0 build/examples/molecules/H2O/example_H2O-1-1 simple-H2O.xml Input: simple-H2O pts/deepsparse-1.5.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario sync Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream pts/nekrs-1.1.0 turbPipePeriodic turbPipe.par Input: TurboPipe Periodic pts/deepsparse-1.5.0 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/stress-ng-1.10.0 --tree -1 --tree-method avl --no-rand-seed Test: AVL Tree pts/stress-ng-1.10.0 --vecfp -1 --no-rand-seed Test: Vector Floating Point pts/embree-1.5.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/cp2k-1.4.1 -i benchmarks/Fayalite-FIST/fayalite.inp Input: Fayalite-FIST pts/svt-av1-2.9.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/deepsparse-1.5.0 zoo:nlp/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario sync Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream pts/leveldb-1.1.0 --benchmarks=seekrandom --num=1000000 Benchmark: Seek Random pts/stress-ng-1.10.0 --vecshuf -1 --no-rand-seed Test: Vector Shuffle pts/embree-1.5.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/deepsparse-1.5.0 zoo:nlp/question_answering/bert-base/pytorch/huggingface/squad/12layer_pruned90-none --scenario sync Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/pathtracer/real_time Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time pts/embree-1.5.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 32 Threads: 4 - Buffer Length: 256 - Filter Length: 32 pts/stress-ng-1.10.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/deepsparse-1.5.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/svt-av1-2.9.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time pts/stress-ng-1.10.0 --zlib -1 --no-rand-seed Test: Zlib pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/blender-3.6.0 -b ../barbershop_interior_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Barbershop - Compute: CPU-Only pts/dav1d-1.14.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/embree-1.5.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/stress-ng-1.10.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/embree-1.5.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/libxsmm-1.0.1 64 64 64 M N K: 64 pts/stress-ng-1.10.0 --clone -1 --no-rand-seed Test: Cloning pts/dav1d-1.14.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/deepsparse-1.5.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario sync Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 57 Threads: 8 - Buffer Length: 256 - Filter Length: 57 pts/deepsparse-1.5.0 zoo:nlp/document_classification/obert-base/pytorch/huggingface/imdb/base-none --scenario sync Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/stress-ng-1.10.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/dav1d-1.14.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/stress-ng-1.10.0 --vecwide -1 --no-rand-seed Test: Wide Vector Math pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 512 Threads: 8 - Buffer Length: 256 - Filter Length: 512 pts/stress-ng-1.10.0 --crypt -1 --no-rand-seed Test: Crypto pts/svt-av1-2.9.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/stress-ng-1.10.0 --poll -1 --no-rand-seed Test: Poll pts/deepsparse-1.5.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario sync Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream pts/svt-av1-2.9.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/liquid-dsp-1.6.0 -n 12 -b 256 -f 57 Threads: 12 - Buffer Length: 256 - Filter Length: 57 pts/deepsparse-1.5.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/dav1d-1.14.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/mocassin-1.1.0 dust/2D/tau100.0 Input: Dust 2D tau100.0 pts/blender-3.6.0 -b ../fishy_cat_gpu.blend -o output.test -x 1 -F JPEG -f 1 -- --cycles-device CPU Blend File: Fishy Cat - Compute: CPU-Only pts/stress-ng-1.10.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/liquid-dsp-1.6.0 -n 12 -b 256 -f 512 Threads: 12 - Buffer Length: 256 - Filter Length: 512 pts/deepsparse-1.5.0 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/stress-ng-1.10.0 --futex -1 --no-rand-seed Test: Futex pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 57 Threads: 2 - Buffer Length: 256 - Filter Length: 57 pts/stress-ng-1.10.0 --fma -1 --no-rand-seed Test: Fused Multiply-Add pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 512 Threads: 2 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 pts/stress-ng-1.10.0 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 32 Threads: 2 - Buffer Length: 256 - Filter Length: 32 pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/stress-ng-1.10.0 --atomic -1 --no-rand-seed Test: Atomic pts/stress-ng-1.10.0 --funccall -1 --no-rand-seed Test: Function Call pts/stress-ng-1.10.0 --numa -1 --no-rand-seed Test: NUMA pts/stress-ng-1.10.0 --hash -1 --no-rand-seed Test: Hash pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/stress-ng-1.10.0 --malloc -1 --no-rand-seed Test: Malloc pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/stress-ng-1.10.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 32 Threads: 8 - Buffer Length: 256 - Filter Length: 32 pts/stress-ng-1.10.0 --mutex -1 --no-rand-seed Test: Mutex pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/stress-ng-1.10.0 --switch -1 --no-rand-seed Test: Context Switching pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/kripke-1.2.0 pts/stress-ng-1.10.0 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/cp2k-1.4.1 -i benchmarks/QS_DM_LS/H2O-dft-ls.inp Input: H2O-DFT-LS