extra tests2

Tests for a future article. AMD EPYC 9124 16-Core testing with a Supermicro H13SSW (1.1 BIOS) and astdrmfb on AlmaLinux 9.2 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 2310228-NE-EXTRATEST37
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CPU Massive 5 Tests
Creator Workloads 9 Tests
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Intel oneAPI 6 Tests
OpenMPI Tests 5 Tests
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October 07 2023
  5 Hours, 38 Minutes
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October 07 2023
  5 Hours, 6 Minutes
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October 07 2023
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October 20 2023
  5 Hours, 58 Minutes
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October 20 2023
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October 21 2023
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October 22 2023
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extra tests2 Suite 1.0.0 System Test suite extracted from extra tests2. pts/openradioss-1.1.1 Bumper_Beam_AP_meshed_0000.rad Bumper_Beam_AP_meshed_0001.rad Model: Bumper Beam pts/openradioss-1.1.1 NEON1M11_0000.rad NEON1M11_0001.rad Model: Chrysler Neon 1M pts/openradioss-1.1.1 Cell_Phone_Drop_0000.rad Cell_Phone_Drop_0001.rad Model: Cell Phone Drop Test pts/openradioss-1.1.1 BIRD_WINDSHIELD_v1_0000.rad BIRD_WINDSHIELD_v1_0001.rad Model: Bird Strike on Windshield pts/openradioss-1.1.1 RUBBER_SEAL_IMPDISP_GEOM_0000.rad RUBBER_SEAL_IMPDISP_GEOM_0001.rad Model: Rubber O-Ring Seal Installation pts/openradioss-1.1.1 fsi_drop_container_0000.rad fsi_drop_container_0001.rad Model: INIVOL and Fluid Structure Interaction Drop Container 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/specfem3d-1.0.0 Mount_StHelens Model: Mount St. Helens pts/specfem3d-1.0.0 layered_halfspace Model: Layered Halfspace pts/specfem3d-1.0.0 tomographic_model Model: Tomographic Model pts/specfem3d-1.0.0 homogeneous_halfspace Model: Homogeneous Halfspace pts/specfem3d-1.0.0 waterlayered_halfspace Model: Water-layered Halfspace pts/nekrs-1.1.0 kershaw kershaw.par Input: Kershaw pts/nekrs-1.1.0 turbPipePeriodic turbPipe.par Input: TurboPipe Periodic pts/embree-1.5.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.5.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/embree-1.5.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.5.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/embree-1.5.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.5.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/svt-av1-2.10.0 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.10.0 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/oidn-2.0.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - 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 RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only pts/ospray-2.12.0 --benchmark_filter=particle_volume/ao/real_time Benchmark: particle_volume/ao/real_time 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/pathtracer/real_time Benchmark: particle_volume/pathtracer/real_time 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/ospray-2.12.0 --benchmark_filter=gravity_spheres_volume/dim_512/scivis/real_time Benchmark: gravity_spheres_volume/dim_512/scivis/real_time 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/build-linux-kernel-1.15.0 defconfig Build: defconfig pts/build-linux-kernel-1.15.0 allmodconfig Build: allmodconfig pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 32 Threads: 1 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 57 Threads: 1 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 2 -b 256 -f 32 Threads: 2 - Buffer Length: 256 - Filter Length: 32 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/liquid-dsp-1.6.0 -n 4 -b 256 -f 57 Threads: 4 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 32 Threads: 8 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 57 Threads: 8 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 1 -b 256 -f 512 Threads: 1 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 32 Threads: 16 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 57 Threads: 16 - Buffer Length: 256 - Filter Length: 57 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 32 -b 256 -f 32 Threads: 32 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 57 Threads: 32 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 4 -b 256 -f 512 Threads: 4 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 32 Threads: 64 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 64 -b 256 -f 57 Threads: 64 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 8 -b 256 -f 512 Threads: 8 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 96 -b 256 -f 32 Threads: 96 - Buffer Length: 256 - Filter Length: 32 pts/liquid-dsp-1.6.0 -n 96 -b 256 -f 57 Threads: 96 - Buffer Length: 256 - Filter Length: 57 pts/liquid-dsp-1.6.0 -n 16 -b 256 -f 512 Threads: 16 - Buffer Length: 256 - Filter Length: 512 pts/liquid-dsp-1.6.0 -n 32 -b 256 -f 512 Threads: 32 - Buffer Length: 256 - Filter Length: 512 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 96 -b 256 -f 512 Threads: 96 - Buffer Length: 256 - Filter Length: 512 pts/tidb-1.0.3 oltp_read_write 1 Test: oltp_read_write - Threads: 1 pts/tidb-1.0.3 oltp_read_write 16 Test: oltp_read_write - Threads: 16 pts/tidb-1.0.3 oltp_read_write 32 Test: oltp_read_write - Threads: 32 pts/tidb-1.0.3 oltp_read_write 64 Test: oltp_read_write - Threads: 64 pts/tidb-1.0.3 oltp_point_select 1 Test: oltp_point_select - Threads: 1 pts/tidb-1.0.3 oltp_read_write 128 Test: oltp_read_write - Threads: 128 pts/tidb-1.0.3 oltp_update_index 1 Test: oltp_update_index - Threads: 1 pts/tidb-1.0.3 oltp_point_select 16 Test: oltp_point_select - Threads: 16 pts/tidb-1.0.3 oltp_point_select 32 Test: oltp_point_select - Threads: 32 pts/tidb-1.0.3 oltp_point_select 64 Test: oltp_point_select - Threads: 64 pts/tidb-1.0.3 oltp_update_index 16 Test: oltp_update_index - Threads: 16 pts/tidb-1.0.3 oltp_update_index 32 Test: oltp_update_index - Threads: 32 pts/tidb-1.0.3 oltp_update_index 64 Test: oltp_update_index - Threads: 64 pts/tidb-1.0.3 oltp_point_select 128 Test: oltp_point_select - Threads: 128 pts/tidb-1.0.3 oltp_update_index 128 Test: oltp_update_index - Threads: 128 pts/tidb-1.0.3 oltp_update_non_index 1 Test: oltp_update_non_index - Threads: 1 pts/tidb-1.0.3 oltp_update_non_index 16 Test: oltp_update_non_index - Threads: 16 pts/tidb-1.0.3 oltp_update_non_index 32 Test: oltp_update_non_index - Threads: 32 pts/tidb-1.0.3 oltp_update_non_index 64 Test: oltp_update_non_index - Threads: 64 pts/tidb-1.0.3 oltp_update_non_index 128 Test: oltp_update_non_index - Threads: 128 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/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/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/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/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/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/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/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/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/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/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/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/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/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/token_classification/bert-base/pytorch/huggingface/conll2003/base-none --scenario async Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream 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/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/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/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/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/openvino-1.3.0 -m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPU Model: Face Detection FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/person-detection-0303/FP16/person-detection-0303.xml -d CPU Model: Person Detection FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/person-detection-0303/FP32/person-detection-0303.xml -d CPU Model: Person Detection FP32 - Device: CPU pts/openvino-1.3.0 -m models/intel/vehicle-detection-0202/FP16/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/face-detection-0206/FP16-INT8/face-detection-0206.xml -d CPU Model: Face Detection FP16-INT8 - Device: CPU pts/openvino-1.3.0 -m models/intel/face-detection-retail-0005/FP16/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/road-segmentation-adas-0001/FP16/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/vehicle-detection-0202/FP16-INT8/vehicle-detection-0202.xml -d CPU Model: Vehicle Detection FP16-INT8 - Device: CPU pts/openvino-1.3.0 -m models/intel/weld-porosity-detection-0001/FP16/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/face-detection-retail-0005/FP16-INT8/face-detection-retail-0005.xml -d CPU Model: Face Detection Retail FP16-INT8 - Device: CPU pts/openvino-1.3.0 -m models/intel/road-segmentation-adas-0001/FP16-INT8/road-segmentation-adas-0001.xml -d CPU Model: Road Segmentation ADAS FP16-INT8 - Device: CPU pts/openvino-1.3.0 -m models/intel/machine-translation-nar-en-de-0002/FP16/machine-translation-nar-en-de-0002.xml -d CPU Model: Machine Translation EN To DE FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/weld-porosity-detection-0001/FP16-INT8/weld-porosity-detection-0001.xml -d CPU Model: Weld Porosity Detection FP16-INT8 - Device: CPU pts/openvino-1.3.0 -m models/intel/person-vehicle-bike-detection-2004/FP16/person-vehicle-bike-detection-2004.xml -d CPU Model: Person Vehicle Bike Detection FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/handwritten-english-recognition-0001/FP16/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/age-gender-recognition-retail-0013/FP16/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU pts/openvino-1.3.0 -m models/intel/handwritten-english-recognition-0001/FP16-INT8/handwritten-english-recognition-0001.xml -d CPU Model: Handwritten English Recognition FP16-INT8 - Device: CPU pts/openvino-1.3.0 -m models/intel/age-gender-recognition-retail-0013/FP16-INT8/age-gender-recognition-retail-0013.xml -d CPU Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU pts/cassandra-1.2.0 WRITE Test: Writes pts/hadoop-1.0.0 -op open -threads 50 -files 100000 Operation: Open - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 100 -files 100000 Operation: Open - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 50 -files 1000000 Operation: Open - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op create -threads 50 -files 100000 Operation: Create - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 50 -files 100000 Operation: Delete - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op open -threads 100 -files 1000000 Operation: Open - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op rename -threads 50 -files 100000 Operation: Rename - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 100 -files 100000 Operation: Create - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op create -threads 50 -files 1000000 Operation: Create - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 100 -files 100000 Operation: Delete - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op delete -threads 50 -files 1000000 Operation: Delete - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op rename -threads 100 -files 100000 Operation: Rename - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op rename -threads 50 -files 1000000 Operation: Rename - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op create -threads 100 -files 1000000 Operation: Create - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op delete -threads 100 -files 1000000 Operation: Delete - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op rename -threads 100 -files 1000000 Operation: Rename - Threads: 100 - Files: 1000000 pts/hadoop-1.0.0 -op fileStatus -threads 50 -files 100000 Operation: File Status - Threads: 50 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 100 -files 100000 Operation: File Status - Threads: 100 - Files: 100000 pts/hadoop-1.0.0 -op fileStatus -threads 50 -files 1000000 Operation: File Status - Threads: 50 - Files: 1000000 pts/hadoop-1.0.0 -op fileStatus -threads 100 -files 1000000 Operation: File Status - Threads: 100 - Files: 1000000 pts/kripke-1.2.0 pts/brl-cad-1.5.0 VGR Performance Metric pts/easywave-1.0.0 -grid examples/e2Asean.grd -source examples/BengkuluSept2007.flt -time 240 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 240 pts/easywave-1.0.0 -grid examples/e2Asean.grd -source examples/BengkuluSept2007.flt -time 1200 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 1200 pts/easywave-1.0.0 -grid examples/e2Asean.grd -source examples/BengkuluSept2007.flt -time 2400 Input: e2Asean Grid + BengkuluSept2007 Source - Time: 2400 pts/embree-1.6.0 pathtracer -c asian_dragon/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon pts/embree-1.6.0 pathtracer -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer - Model: Asian Dragon Obj pts/embree-1.6.0 pathtracer -c crown/crown.ecs Binary: Pathtracer - Model: Crown pts/embree-1.6.0 pathtracer_ispc -c asian_dragon/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon pts/embree-1.6.0 pathtracer_ispc -c asian_dragon_obj/asian_dragon.ecs Binary: Pathtracer ISPC - Model: Asian Dragon Obj pts/embree-1.6.0 pathtracer_ispc -c crown/crown.ecs Binary: Pathtracer ISPC - Model: Crown pts/openvkl-2.0.0 vklBenchmarkCPU --benchmark_filter=scalar Benchmark: vklBenchmarkCPU Scalar pts/openvkl-2.0.0 vklBenchmarkCPU --benchmark_filter=ispc Benchmark: vklBenchmarkCPU ISPC pts/onednn-3.3.0 --conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --conv --batch=inputs/conv/shapes_auto --cfg=u8s8f32 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --conv --batch=inputs/conv/shapes_auto --cfg=bf16bf16bf16 --engine=cpu Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --deconv --batch=inputs/deconv/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpu Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_1d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_1d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpu Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_3d --cfg=u8s8f32 --engine=cpu Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --ip --batch=inputs/ip/shapes_3d --cfg=bf16bf16bf16 --engine=cpu Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_training --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=u8s8f32 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU pts/onednn-3.3.0 --rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=bf16bf16bf16 --engine=cpu Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU pts/oidn-2.1.0 -r RT.hdr_alb_nrm.3840x2160 -d cpu Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.1.0 -r RT.ldr_alb_nrm.3840x2160 -d cpu Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only pts/oidn-2.1.0 -r RTLightmap.hdr.4096x4096 -d cpu Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only