dddxxx

Intel Core i7-8565U testing with a Dell 0KTW76 (1.17.0 BIOS) and Intel UHD 620 WHL GT2 15GB on Ubuntu 22.04 via the Phoronix Test Suite.

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AV1 2 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 3 Tests
CPU Massive 4 Tests
Creator Workloads 8 Tests
Database Test Suite 5 Tests
Encoding 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 10 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
Programmer / Developer System Benchmarks 3 Tests
Python Tests 4 Tests
Server 5 Tests
Server CPU Tests 4 Tests
Video Encoding 3 Tests
Vulkan Compute 2 Tests

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August 05 2023
  15 Hours, 4 Minutes
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August 06 2023
  15 Hours, 10 Minutes
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dddxxx Suite 1.0.0 System Test suite extracted from dddxxx. pts/sqlite-2.2.0 1 Threads / Copies: 1 pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/pruned97_quant-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/ncnn-1.5.0 -1 Target: CPU - Model: shufflenet-v2 pts/memtier-benchmark-1.5.0 -P redis -c 500 --ratio=1:5 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 pts/sqlite-2.2.0 2 Threads / Copies: 2 pts/sqlite-2.2.0 4 Threads / Copies: 4 pts/memtier-benchmark-1.5.0 -P redis -c 500 --ratio=1:10 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 pts/stress-ng-1.10.0 --mmap -1 --no-rand-seed Test: MMAP pts/memtier-benchmark-1.5.0 -P redis -c 100 --ratio=1:5 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.5.0 -P redis -c 50 --ratio=1:5 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 pts/ncnn-1.5.0 -1 Target: CPU - Model: mnasnet pts/memtier-benchmark-1.5.0 -P redis -c 100 --ratio=1:10 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 pts/stress-ng-1.10.0 --memfd -1 --no-rand-seed Test: MEMFD pts/memtier-benchmark-1.5.0 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/stress-ng-1.10.0 --futex -1 --no-rand-seed Test: Futex pts/stress-ng-1.10.0 --fork -1 --no-rand-seed Test: Forking pts/deepsparse-1.5.2 zoo:nlp/question_answering/obert-large/pytorch/huggingface/squad/base-none --input_shapes='[1,128]' --scenario async Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Stream pts/stress-ng-1.10.0 --cache -1 --no-rand-seed Test: CPU Cache pts/stress-ng-1.10.0 --crypt -1 --no-rand-seed Test: Crypto pts/stress-ng-1.10.0 --zlib -1 --no-rand-seed Test: Zlib pts/svt-av1-2.9.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/stress-ng-1.10.0 --hash -1 --no-rand-seed Test: Hash pts/stress-ng-1.10.0 --pthread -1 --no-rand-seed Test: Pthread pts/ncnn-1.5.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/stress-ng-1.10.0 --sendfile -1 --no-rand-seed Test: SENDFILE pts/deepsparse-1.5.2 zoo:nlp/text_classification/bert-base/pytorch/huggingface/sst2/base-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream pts/deepsparse-1.5.2 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/stress-ng-1.10.0 --tree -1 --tree-method avl --no-rand-seed Test: AVL Tree pts/deepsparse-1.5.2 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/stress-ng-1.10.0 --malloc -1 --no-rand-seed Test: Malloc 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_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/stress-ng-1.10.0 --mutex -1 --no-rand-seed Test: Mutex 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/dav1d-1.14.0 -i summer_nature_1080p.ivf Video Input: Summer Nature 1080p pts/stress-ng-1.10.0 --numa -1 --no-rand-seed Test: NUMA 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/stress-ng-1.10.0 --poll -1 --no-rand-seed Test: Poll pts/stress-ng-1.10.0 --atomic -1 --no-rand-seed Test: Atomic pts/svt-av1-2.9.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time pts/stress-ng-1.10.0 --fma -1 --no-rand-seed Test: Fused Multiply-Add pts/ncnn-1.5.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/deepsparse-1.5.2 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 --vecfp -1 --no-rand-seed Test: Vector Floating Point pts/stress-ng-1.10.0 --pipe -1 --no-rand-seed Test: Pipe pts/stress-ng-1.10.0 --cpu -1 --cpu-method all --no-rand-seed Test: CPU Stress pts/stress-ng-1.10.0 --io-uring -1 --no-rand-seed Test: IO_uring pts/stress-ng-1.10.0 --qsort -1 --no-rand-seed Test: Glibc Qsort Data Sorting pts/stress-ng-1.10.0 --clone -1 --no-rand-seed Test: Cloning pts/ncnn-1.5.0 -1 Target: CPU - Model: mobilenet pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 57 Threads: 4 - Buffer Length: 256 - Filter Length: 57 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: regnety_400m pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 57 Threads: 8 - Buffer Length: 256 - Filter Length: 57 pts/stress-ng-1.10.0 --str -1 --no-rand-seed Test: Glibc C String Functions pts/stress-ng-1.10.0 --msg -1 --no-rand-seed Test: System V Message Passing pts/deepsparse-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario async Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/stress-ng-1.10.0 --funccall -1 --no-rand-seed Test: Function Call pts/ospray-2.12.0 --benchmark_filter=particle_volume/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet50 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/libxsmm-1.0.1 128 128 128 M N K: 128 pts/ncnn-1.5.0 -1 Target: CPU - Model: squeezenet_ssd pts/embree-1.5.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj 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 --rdrand -1 --no-rand-seed Test: x86_64 RdRand pts/stress-ng-1.10.0 --switch -1 --no-rand-seed Test: Context Switching pts/ncnn-1.5.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: FastestDet pts/stress-ng-1.10.0 --matrix-3d -1 --no-rand-seed Test: Matrix 3D Math pts/ncnn-1.5.0 Target: Vulkan GPU - Model: squeezenet_ssd pts/memcached-1.2.0 --ratio=1:10 Set To Get Ratio: 1:10 pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset fast Video Input: Bosphorus 1080p - Video Preset: Fast pts/ncnn-1.5.0 -1 Target: CPU - Model: FastestDet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mobilenet pts/stress-ng-1.10.0 --fp -1 --no-rand-seed Test: Floating Point pts/build2-1.2.0 Time To Compile pts/ncnn-1.5.0 -1 Target: CPU - Model: yolov4-tiny pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/dav1d-1.14.0 -i chimera_8b_1080p.ivf Video Input: Chimera 1080p pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 512 Threads: 8 - Buffer Length: 256 - Filter Length: 512 pts/ncnn-1.5.0 -1 Target: CPU - Model: blazeface pts/ospray-2.12.0 --benchmark_filter=particle_volume/scivis/real_time Benchmark: particle_volume/scivis/real_time pts/memcached-1.2.0 --ratio=1:100 Set To Get Ratio: 1:100 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: blazeface 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/embree-1.5.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown 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/ncnn-1.5.0 Target: Vulkan GPU - Model: vision_transformer pts/deepsparse-1.5.2 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 --vecmath -1 --no-rand-seed Test: Vector Math pts/ncnn-1.5.0 Target: Vulkan GPU - Model: vgg16 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/ncnn-1.5.0 -1 Target: CPU - Model: vgg16 pts/memcached-1.2.0 --ratio=1:5 Set To Get Ratio: 1:5 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet18 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: efficientnet-b0 pts/build-llvm-1.5.0 Build System: Unix Makefiles pts/z3-1.0.0 1.smt2 SMT File: 1.smt2 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: resnet50 pts/stress-ng-1.10.0 --matrix -1 --no-rand-seed Test: Matrix Math pts/embree-1.5.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/deepsparse-1.5.2 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/quantlib-1.1.0 pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 512 Threads: 2 - Buffer Length: 256 - Filter Length: 512 pts/dav1d-1.14.0 -i summer_nature_4k.ivf Video Input: Summer Nature 4K pts/stress-ng-1.10.0 --memcpy -1 --no-rand-seed Test: Memory Copying pts/ncnn-1.5.0 -1 Target: CPU - Model: regnety_400m pts/build-godot-4.0.0 Time To Compile pts/deepsparse-1.5.2 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/pruned95_uniform_quant-none --scenario async Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset fast Video Input: Bosphorus 4K - Video Preset: Fast pts/deepsparse-1.5.2 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/vvenc-1.9.1 -i Bosphorus_3840x2160.y4m --preset faster Video Input: Bosphorus 4K - Video Preset: Faster pts/ncnn-1.5.0 -1 Target: CPU - Model: vision_transformer pts/stress-ng-1.10.0 --vecwide -1 --no-rand-seed Test: Wide Vector Math pts/embree-1.5.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/stress-ng-1.10.0 --sem -1 --no-rand-seed Test: Semaphores pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/libxsmm-1.0.1 32 32 32 M N K: 32 pts/ncnn-1.5.0 Target: Vulkan GPU - Model: googlenet pts/build-llvm-1.5.0 Ninja Build System: Ninja pts/ncnn-1.5.0 Target: Vulkan GPU - Model: mnasnet pts/svt-av1-2.9.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/ncnn-1.5.0 Target: Vulkan GPU - Model: yolov4-tiny 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 --sock -1 --no-rand-seed --sock-zerocopy Test: Socket Activity pts/embree-1.5.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/deepsparse-1.5.2 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/embree-1.5.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-ultimate.cfg Resolution: 1920 x 1080 - Effects Quality: Ultimate pts/z3-1.0.0 2.smt2 SMT File: 2.smt2 pts/ncnn-1.5.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.5.0 Target: Vulkan GPU - Model: shufflenet-v2 pts/ncnn-1.5.0 -1 Target: CPU - Model: googlenet pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 57 Threads: 2 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 32 Threads: 4 - Buffer Length: 256 - Filter Length: 32 pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-high.cfg Resolution: 1920 x 1080 - Effects Quality: High pts/dav1d-1.14.0 -i chimera_10b_1080p.ivf Video Input: Chimera 1080p 10-bit pts/ncnn-1.5.0 Target: Vulkan GPU - Model: alexnet pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/vvenc-1.9.1 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.y4m --preset faster Video Input: Bosphorus 1080p - Video Preset: Faster pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 32 Threads: 2 - Buffer Length: 256 - Filter Length: 32 pts/libxsmm-1.0.1 64 64 64 M N K: 64 pts/deepsparse-1.5.2 zoo:nlp/sentiment_analysis/oberta-base/pytorch/huggingface/sst2/pruned90_quant-none --input_shapes='[1,128]' --scenario async Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/encode-opus-1.4.0 WAV To Opus Encode pts/ncnn-1.5.0 -1 Target: CPU - Model: resnet18 pts/xonotic-1.7.0 +vid_width 1920 +vid_height 1080 +exec effects-low.cfg Resolution: 1920 x 1080 - Effects Quality: Low pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/cassandra-1.2.0 WRITE Test: Writes pts/stress-ng-1.10.0 --vecshuf -1 --no-rand-seed Test: Vector Shuffle pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 pts/ncnn-1.5.0 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.5.0 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 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/vkpeak-1.1.0 fp32-scalar