rpyc jan

AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 12 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 2401146-NE-RPYCJAN6573
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BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
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HPC - High Performance Computing 5 Tests
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January 14
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rpyc jan Suite 1.0.0 System Test suite extracted from rpyc jan. pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q90 pts/llama-cpp-1.0.0 -m ../llama-2-13b.Q4_0.gguf Model: llama-2-13b.Q4_0.gguf pts/tensorflow-2.1.1 --device cpu --batch_size=1 --model=alexnet Device: CPU - Batch Size: 1 - Model: AlexNet pts/tensorflow-2.1.1 --device cpu --batch_size=1 --model=vgg16 Device: CPU - Batch Size: 1 - Model: VGG-16 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q33 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q39 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q46 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q16 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q48 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q33 pts/tensorflow-2.1.1 --device cpu --batch_size=16 --model=alexnet Device: CPU - Batch Size: 16 - Model: AlexNet pts/tensorflow-2.1.1 --device cpu --batch_size=16 --model=resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q38 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q79 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q65 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q73 pts/llama-cpp-1.0.0 -m ../llama-2-7b.Q4_0.gguf Model: llama-2-7b.Q4_0.gguf pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q40 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q65 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q97 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q26 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q99 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q27 pts/tensorflow-2.1.1 --device cpu --batch_size=16 --model=vgg16 Device: CPU - Batch Size: 16 - Model: VGG-16 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q75 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q24 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q82 pts/pytorch-1.0.1 cpu 16 resnet152 Device: CPU - Batch Size: 16 - Model: ResNet-152 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q31 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q03 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q73 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q36 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q45 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q56 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q76 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q88 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q18 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q02 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q92 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q42 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q53 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q55 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q42 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q79 pts/speedb-1.0.1 --benchmarks="readwhilewriting" Test: Read While Writing pts/tensorflow-2.1.1 --device cpu --batch_size=16 --model=googlenet Device: CPU - Batch Size: 16 - Model: GoogLeNet pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q55 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q28 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q14 pts/pytorch-1.0.1 cpu 16 efficientnet_v2_l Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q63 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q77 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q06 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q09 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q60 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q68 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q09 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q13 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q32 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q63 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q96 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q60 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q34 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q78 pts/pytorch-1.0.1 cpu 1 resnet152 Device: CPU - Batch Size: 1 - Model: ResNet-152 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q57 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q99 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q88 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q15 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q40 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q08 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q80 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q04 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q98 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q31 pts/pytorch-1.0.1 cpu 1 resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q44 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q52 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q85 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q51 pts/tensorflow-2.1.1 --device cpu --batch_size=1 --model=googlenet Device: CPU - Batch Size: 1 - Model: GoogLeNet pts/svt-av1-2.11.1 --preset 12 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 12 - Input: Bosphorus 1080p pts/svt-av1-2.11.1 --preset 13 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 13 - Input: Bosphorus 1080p pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q25 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q69 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q21 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q01 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q98 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q87 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q89 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q87 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q28 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q76 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q06 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q26 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q21 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q69 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q13 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q56 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q67 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q93 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q11 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q10 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q59 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q66 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q53 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q95 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q37 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q94 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q07 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q51 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q74 pts/speedb-1.0.1 --benchmarks="readrandomwriterandom" Test: Read Random Write Random pts/pytorch-1.0.1 cpu 1 efficientnet_v2_l Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q86 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q82 pts/speedb-1.0.1 --benchmarks="fillseq" Test: Sequential Fill pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q47 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q41 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q44 pts/svt-av1-2.11.1 --preset 13 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 13 - Input: Bosphorus 4K pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q49 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q86 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q66 pts/pytorch-1.0.1 cpu 16 resnet50 Device: CPU - Batch Size: 16 - Model: ResNet-50 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q17 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q36 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q54 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q71 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q85 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q58 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q96 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q50 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q48 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q18 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q68 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q54 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q64 pts/speedb-1.0.1 --benchmarks="fillrandom" Test: Random Fill pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q39 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q05 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q62 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q07 pts/lczero-1.7.0 -b eigen Backend: Eigen pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q35 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q90 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q23 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q45 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q52 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q20 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q97 pts/lczero-1.7.0 -b blas Backend: BLAS pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q83 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q75 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q46 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q22 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q19 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q59 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q38 pts/svt-av1-2.11.1 --preset 12 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 12 - Input: Bosphorus 4K pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q27 pts/deepsparse-1.6.0 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/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q29 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q35 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q47 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q95 pts/svt-av1-2.11.1 --preset 4 -n 160 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 4 - Input: Bosphorus 1080p pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q34 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q11 pts/speedb-1.0.1 --benchmarks="fillsync" Test: Random Fill Sync pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q25 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q61 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q83 pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Stream pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q02 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q89 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q01 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q61 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q49 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q15 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q81 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q72 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q64 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q70 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q43 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q91 pts/tensorflow-2.1.1 --device cpu --batch_size=1 --model=resnet50 Device: CPU - Batch Size: 1 - Model: ResNet-50 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q84 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q24 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q29 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q37 pts/y-cruncher-1.4.0 500m Pi Digits To Calculate: 500M pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q41 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q67 pts/deepsparse-1.6.0 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/y-cruncher-1.4.0 1b Pi Digits To Calculate: 1B pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q22 pts/deepsparse-1.6.0 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/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q70 pts/svt-av1-2.11.1 --preset 8 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 8 - Input: Bosphorus 4K pts/deepsparse-1.6.0 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-1.6.0 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/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q32 pts/quicksilver-1.0.0 ../Examples/CORAL2_Benchmark/Problem1/Coral2_P1.inp Input: CORAL2 P1 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q23 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q74 pts/svt-av1-2.11.1 --preset 4 -n 160 -i Bosphorus_3840x2160.y4m -w 3840 -h 2160 Encoder Mode: Preset 4 - Input: Bosphorus 4K pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q10 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q57 pts/deepsparse-1.6.0 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/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q77 pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/base-none --scenario async Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q93 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q92 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q58 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q19 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q43 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q12 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q14 pts/svt-av1-2.11.1 --preset 8 -i Bosphorus_1920x1080_120fps_420_8bit_YUV.yuv -w 1920 -h 1080 Encoder Mode: Preset 8 - Input: Bosphorus 1080p pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q05 pts/deepsparse-1.6.0 zoo:cv/classification/resnet_v1-50/pytorch/sparseml/imagenet/base-none --scenario async Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q08 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q81 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q04 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q84 pts/deepsparse-1.6.0 zoo:nlp/text_classification/distilbert-none/pytorch/huggingface/mnli/base-none --scenario async Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q72 pts/deepsparse-1.6.0 zoo:cv/segmentation/yolact-darknet53/pytorch/dbolya/coco/pruned90-none --scenario async Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q62 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q71 pts/speedb-1.0.1 --benchmarks="updaterandom" Test: Update Random pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q94 pts/quicksilver-1.0.0 ../Examples/CORAL2_Benchmark/Problem2/Coral2_P2.inp Input: CORAL2 P2 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q91 pts/deepsparse-1.6.0 zoo:cv/detection/yolov5-s/pytorch/ultralytics/coco/pruned85-none --scenario async Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Stream pts/cachebench-1.2.0 -w Test: Write pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q30 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q17 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q50 pts/quicksilver-1.0.0 ../Examples/CTS2_Benchmark/CTS2.inp Input: CTS2 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q78 pts/cachebench-1.2.0 -b Test: Read / Modify / Write pts/cachebench-1.2.0 -r Test: Read pts/speedb-1.0.1 --benchmarks="readrandom" Test: Random Read pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q80 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q20 pts/spark-tpcds-1.0.0 10 Scale Factor: 10 - Q12 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q30 pts/spark-tpcds-1.0.0 1 Scale Factor: 1 - Q03