dddas

AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 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 2306242-NE-DDDAS565146
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AV1 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 5 Tests
Creator Workloads 9 Tests
Database Test Suite 2 Tests
Encoding 4 Tests
Fortran Tests 5 Tests
HPC - High Performance Computing 10 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 3 Tests
MPI Benchmarks 4 Tests
Multi-Core 8 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 11 Tests
Python Tests 6 Tests
Scientific Computing 5 Tests
Server 2 Tests
Server CPU Tests 5 Tests
Video Encoding 3 Tests

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June 23 2023
  13 Hours, 58 Minutes
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June 24 2023
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dddas Suite 1.0.0 System Test suite extracted from dddas. pts/leveldb-1.1.0 --benchmarks=fillsync --num=1000000 Benchmark: Fill Sync pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/whisper-cpp-1.0.0 -m models/ggml-small.en.bin -f ../2016-state-of-the-union.wav Model: ggml-small.en - Input: 2016 State of the Union pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/stress-ng-1.10.0 --sem -1 --no-rand-seed Test: Semaphores pts/stress-ng-1.10.0 --cache -1 --no-rand-seed Test: CPU Cache pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 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/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/whisper-cpp-1.0.0 -m models/ggml-base.en.bin -f ../2016-state-of-the-union.wav Model: ggml-base.en - Input: 2016 State of the Union 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/qmcpack-1.6.0 tests/molecules/O_ae_pyscf_UHF vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms pts/stress-ng-1.10.0 --vecshuf -1 --no-rand-seed Test: Vector Shuffle pts/qmcpack-1.6.0 tests/molecules/Li2_STO_ae Li2.STO.long.in.xml Input: Li2_STO_ae pts/stress-ng-1.10.0 --sendfile -1 --no-rand-seed Test: SENDFILE 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/sqlite-2.2.0 2 Threads / Copies: 2 pts/sqlite-2.2.0 8 Threads / Copies: 8 pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/xonotic-1.7.0 +vid_width 2560 +vid_height 1440 +exec effects-low.cfg Resolution: 2560 x 1440 - Effects Quality: Low pts/cp2k-1.4.1 -i benchmarks/QS/H2O-64.inp Input: H20-64 pts/leveldb-1.1.0 --benchmarks=seekrandom --num=1000000 Benchmark: Seek Random 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/heffte-1.0.0 r2c stock double-long 128 128 128 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 128 pts/stress-ng-1.10.0 --switch -1 --no-rand-seed Test: Context Switching pts/whisper-cpp-1.0.0 -m models/ggml-medium.en.bin -f ../2016-state-of-the-union.wav Model: ggml-medium.en - Input: 2016 State of the Union pts/sqlite-2.2.0 4 Threads / Copies: 4 pts/stress-ng-1.10.0 --numa -1 --no-rand-seed Test: NUMA pts/kripke-1.2.0 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/espeak-1.7.0 Text-To-Speech Synthesis pts/xonotic-1.7.0 +vid_width 2560 +vid_height 1440 +exec effects-high.cfg Resolution: 2560 x 1440 - Effects Quality: High pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-high.cfg Resolution: 1920 x 1200 - Effects Quality: High pts/xonotic-1.7.0 +vid_width 2560 +vid_height 1440 +exec effects-ultra.cfg Resolution: 2560 x 1440 - Effects Quality: Ultra pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-ultra.cfg Resolution: 1920 x 1080 - Effects Quality: Ultra pts/stress-ng-1.10.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/heffte-1.0.0 r2c fftw double-long 128 128 128 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 128 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: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/svt-av1-2.9.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/heffte-1.0.0 c2c stock double-long 128 128 128 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 128 pts/sqlite-2.2.0 1 Threads / Copies: 1 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/stress-ng-1.10.0 --vecfp -1 --no-rand-seed Test: Vector Floating Point 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/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/ao/real_time Benchmark: gravity_spheres_volume/dim_512/ao/real_time pts/leveldb-1.1.0 --benchmarks=readhot --num=1000000 Benchmark: Hot Read pts/xonotic-1.7.0 +vid_width 3840 +vid_height 2160 +exec effects-low.cfg Resolution: 3840 x 2160 - Effects Quality: Low pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 32 Threads: 64 - Buffer Length: 256 - Filter Length: 32 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/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/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/leveldb-1.1.0 --benchmarks=fillrandom --num=100000 Benchmark: Random Fill pts/stress-ng-1.10.0 --futex -1 --no-rand-seed Test: Futex pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/xonotic-1.7.0 +vid_width 2560 +vid_height 1440 +exec effects-ultimate.cfg Resolution: 2560 x 1440 - Effects Quality: Ultimate pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/cp2k-1.4.1 -i benchmarks/Fayalite-FIST/fayalite.inp Input: Fayalite-FIST pts/mocassin-1.1.0 gas/HII40 Input: Gas HII40 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:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 512 Threads: 2 - Buffer Length: 256 - Filter Length: 512 pts/nekrs-1.1.0 kershaw kershaw.par Input: Kershaw pts/stress-ng-1.10.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/xonotic-1.7.0 +vid_width 3840 +vid_height 2160 +exec effects-ultra.cfg Resolution: 3840 x 2160 - Effects Quality: Ultra pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-low.cfg Resolution: 1920 x 1200 - Effects Quality: Low pts/laghos-1.0.0 -p 3 -m data/box01_hex.mesh -rs 2 -tf 5.0 -vis -pa Test: Triple Point Problem pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 32 Threads: 4 - Buffer Length: 256 - Filter Length: 32 pts/heffte-1.0.0 r2c fftw double-long 256 256 256 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 256 pts/palabos-1.0.0 400 Grid Size: 400 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/liquid-dsp-1.6.0 -n 16 -b 256 -f 57 Threads: 16 - Buffer Length: 256 - Filter Length: 57 pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-ultimate.cfg Resolution: 1920 x 1200 - Effects Quality: Ultimate pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 57 Threads: 2 - Buffer Length: 256 - Filter Length: 57 pts/sqlite-2.2.0 32 Threads / Copies: 32 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 32 Threads: 32 - Buffer Length: 256 - Filter Length: 32 pts/remhos-1.0.0 -m ./data/inline-quad.mesh -p 14 -rs 2 -rp 1 -dt 0.0005 -tf 0.6 -ho 1 -lo 2 -fct 3 Test: Sample Remap Example pts/stress-ng-1.10.0 --mmap -1 --no-rand-seed Test: MMAP pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/embree-1.5.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/hpcg-1.3.0 --nx=104 --ny=104 --nz=104 --rt=60 X Y Z: 104 104 104 - RT: 60 pts/heffte-1.0.0 r2c stock double-long 256 256 256 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 256 pts/encode-opus-1.4.0 WAV To Opus Encode 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/xonotic-1.7.0 +vid_width 3840 +vid_height 2160 +exec effects-high.cfg Resolution: 3840 x 2160 - Effects Quality: High 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 async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream 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/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/laghos-1.0.0 -p 1 -m data/cube_922_hex.mesh -rs 2 -tf 0.6 -no-vis -pa Test: Sedov Blast Wave, ube_922_hex.mesh pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 57 Threads: 32 - Buffer Length: 256 - Filter Length: 57 pts/embree-1.5.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/stress-ng-1.10.0 --matrix-3d -1 --no-rand-seed Test: Matrix 3D Math 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/leveldb-1.1.0 --benchmarks=fillseq --num=500000 Benchmark: Sequential Fill pts/stress-ng-1.10.0 --fork -1 --no-rand-seed Test: Forking pts/vvenc-1.8.0 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/stress-ng-1.10.0 --tree -1 --tree-method avl --no-rand-seed Test: AVL Tree pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 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/embree-1.5.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/libxsmm-1.0.1 256 256 256 M N K: 256 pts/qmcpack-1.6.0 tests/molecules/FeCO6_b3lyp_gms vmc_long_noj.in.xml Input: FeCO6_b3lyp_gms 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/vvenc-1.8.0 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/mocassin-1.1.0 dust/2D/tau100.0 Input: Dust 2D tau100.0 pts/stress-ng-1.10.0 --vecwide -1 --no-rand-seed Test: Wide Vector Math pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 512 Threads: 32 - Buffer Length: 256 - Filter Length: 512 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/stress-ng-1.10.0 --crypt -1 --no-rand-seed Test: Crypto pts/embree-1.5.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/palabos-1.0.0 100 Grid Size: 100 pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 32 Threads: 2 - Buffer Length: 256 - Filter Length: 32 pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-low.cfg Resolution: 1920 x 1080 - Effects Quality: Low pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 57 Threads: 8 - Buffer Length: 256 - Filter Length: 57 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/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/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 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/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/stress-ng-1.10.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/heffte-1.0.0 c2c fftw double-long 256 256 256 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 256 pts/stress-ng-1.10.0 --clone -1 --no-rand-seed Test: Cloning pts/heffte-1.0.0 c2c fftw double-long 128 128 128 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 128 pts/stress-ng-1.10.0 --fp -1 --no-rand-seed Test: Floating Point pts/dav1d-1.14.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg Resolution: 1920 x 1080 - Effects Quality: Ultimate pts/stress-ng-1.10.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/heffte-1.0.0 c2c stock double-long 256 256 256 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 256 pts/stress-ng-1.10.0 --memfd -1 --no-rand-seed Test: MEMFD pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 32 Threads: 8 - Buffer Length: 256 - Filter Length: 32 pts/palabos-1.0.0 500 Grid Size: 500 pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/stress-ng-1.10.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/sqlite-2.2.0 16 Threads / Copies: 16 pts/dav1d-1.14.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/leveldb-1.1.0 --benchmarks=readrandom --num=1000000 Benchmark: Random Read 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 --io-uring -1 --no-rand-seed Test: IO_uring pts/xonotic-1.7.0 +vid_width 3840 +vid_height 2160 +exec effects-ultimate.cfg Resolution: 3840 x 2160 - Effects Quality: Ultimate pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/z3-1.0.0 1.smt2 SMT File: 1.smt2 pts/stress-ng-1.10.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/stress-ng-1.10.0 --fma -1 --no-rand-seed Test: Fused Multiply-Add pts/stress-ng-1.10.0 --atomic -1 --no-rand-seed Test: Atomic pts/sqlite-2.2.0 64 Threads / Copies: 64 pts/gpaw-1.2.0 carbon-nanotube Input: Carbon Nanotube pts/nekrs-1.1.0 turbPipePeriodic turbPipe.par Input: TurboPipe Periodic pts/heffte-1.0.0 r2c stock double-long 512 512 512 Test: r2c - Backend: Stock - Precision: double-long - X Y Z: 512 pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/heffte-1.0.0 r2c fftw double-long 512 512 512 Test: r2c - Backend: FFTW - Precision: double-long - X Y Z: 512 pts/libxsmm-1.0.1 128 128 128 M N K: 128 pts/libxsmm-1.0.1 64 64 64 M N K: 64 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/petsc-1.0.0 streams Test: Streams pts/stress-ng-1.10.0 --mutex -1 --no-rand-seed Test: Mutex pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1200 +exec effects-ultra.cfg Resolution: 1920 x 1200 - Effects Quality: Ultra pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 512 Threads: 64 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/dav1d-1.14.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/stress-ng-1.10.0 --hash -1 --no-rand-seed Test: Hash pts/stress-ng-1.10.0 --malloc -1 --no-rand-seed Test: Malloc pts/embree-1.5.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/heffte-1.0.0 c2c stock double-long 512 512 512 Test: c2c - Backend: Stock - Precision: double-long - X Y Z: 512 pts/heffte-1.0.0 c2c fftw double-long 512 512 512 Test: c2c - Backend: FFTW - Precision: double-long - X Y Z: 512 pts/dav1d-1.14.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/leveldb-1.1.0 --benchmarks=overwrite --num=100000 Benchmark: Overwrite pts/stress-ng-1.10.0 --pthread -1 --no-rand-seed Test: Pthread 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 --zlib -1 --no-rand-seed Test: Zlib pts/stress-ng-1.10.0 --vecmath -1 --no-rand-seed Test: Vector Math pts/stress-ng-1.10.0 --funccall -1 --no-rand-seed Test: Function Call pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 pts/leveldb-1.1.0 --benchmarks=deleterandom --num=500000 Benchmark: Random Delete 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/embree-1.5.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon 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.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/stress-ng-1.10.0 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/stress-ng-1.10.0 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/stress-ng-1.10.0 --pipe -1 --no-rand-seed Test: Pipe pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.1.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d sycl Run: RTLightmap.hdr.4096x4096 - Device: Intel oneAPI SYCL pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d sycl Run: RT.ldr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d sycl Run: RT.hdr_alb_nrm.3840x2160 - Device: Intel oneAPI SYCL pts/oidn-2.0.0 -r RTLightmap.hdr.4096x4096 -d hip Run: RTLightmap.hdr.4096x4096 - Device: Radeon HIP pts/oidn-2.0.0 -r RT.ldr_alb_nrm.3840x2160 -d hip Run: RT.ldr_alb_nrm.3840x2160 - Device: Radeon HIP pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d hip Run: RT.hdr_alb_nrm.3840x2160 - Device: Radeon HIP pts/palabos-1.0.0 4000 Grid Size: 4000 pts/palabos-1.0.0 1000 Grid Size: 1000 pts/cp2k-1.4.1 -i benchmarks/QS_DM_LS/H2O-dft-ls.inp Input: H2O-DFT-LS pts/hpcg-1.3.0 --nx=144 --ny=144 --nz=144 --rt=60 X Y Z: 144 144 144 - RT: 60