2023 ryzen 5

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2302063-NE-2023RYZEN21

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2023 ryzen 5, "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time", Lower Results Are Better "a",6.1969345309999 "b",6.091282743997 "c",6.1838092370017 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark", Lower Results Are Better "a", "b", "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "a", "b",27.286436171999 "c",27.468785011995 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Group By Test Time", Lower Results Are Better "a",5.4078816479996 "b",5.5858857470012 "c",5.3756138999961 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Repartition Test Time", Lower Results Are Better "a",5.3115080080006 "b",5.3972526279977 "c",5.3820184700016 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Inner Join Test Time", Lower Results Are Better "a", "b",3.8782739010057 "c",3.7707913580016 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time", Lower Results Are Better "a",3.1863070500003 "b",3.1042805679972 "c",3.1467017800023 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time", Lower Results Are Better "a",6.6016626840001 "b",6.9558361119998 "c",6.8830502919955 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark", Lower Results Are Better "a", "b", "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "a", "b", "c",27.496230556993 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Group By Test Time", Lower Results Are Better "a",6.3005842439998 "b",6.5303907849957 "c",6.6454222930042 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Repartition Test Time", Lower Results Are Better "a",5.4094107569999 "b",5.4633283889998 "c",5.4807116089942 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Inner Join Test Time", Lower Results Are Better "a",4.3640215710002 "b",4.5346745030038 "c",4.4722080859938 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time", Lower Results Are Better "a",3.8415291680003 "b",3.8358086890003 "c",3.7995542979988 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time", Lower Results Are Better "a",7.2536662379998 "b",7.7488933009954 "c",7.2707967230017 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark", Lower Results Are Better "a", "b",379.88834819201 "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "a", "b",27.364456538002 "c",27.330867696997 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Group By Test Time", Lower Results Are Better "a",7.0368308670004 "b",6.7971595700001 "c",6.9296665109941 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Repartition Test Time", Lower Results Are Better "a",6.1448832209999 "b",5.8626933520063 "c",6.3121170970044 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time", Lower Results Are Better "a",5.4138248729996 "b",5.4413547899967 "c",5.5242653160021 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time", Lower Results Are Better "a",4.5727713060005 "b",4.6015976370036 "c",4.5988525909997 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time", Lower Results Are Better "a",7.8911021909998 "b",7.9322652420014 "c",7.8827304180013 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark", Lower Results Are Better "a", "b", "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe", Lower Results Are Better "a", "b",27.618875313005 "c", "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Group By Test Time", Lower Results Are Better "a",8.0905423650001 "b",8.0212366990017 "c",8.0451481530035 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Repartition Test Time", Lower Results Are Better "a",7.1962050430002 "b",7.0295056149989 "c",7.0349226779945 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time", Lower Results Are Better "a",6.9031738389995 "b",7.3535706050025 "c",7.3551313780044 "Apache Spark 3.3 - Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time", Lower Results Are Better "a",5.5731950769996 "b",6.1164081239986 "c",5.5438655710022 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, First Run / Cold Cache", Higher Results Are Better "a",62.086315263121 "b",61.801533289226 "c",60.32103531819 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Second Run", Higher Results Are Better "a",66.771105276508 "b",67.002149455215 "c",69.0979399876 "ClickHouse 22.12.3.5 - 100M Rows Hits Dataset, Third Run", Higher Results Are Better "a",68.207450361245 "b",67.684213143572 "c",70.223378688946 "ET: Legacy 2.81 - Resolution: 1920 x 1080", Higher Results Are Better "a", "b", "c", "Memcached 1.6.18 - Set To Get Ratio: 1:5", Higher Results Are Better "a", "b", "c", "Memcached 1.6.18 - Set To Get Ratio: 1:10", Higher Results Are Better "a", "b", "c", "Memcached 1.6.18 - Set To Get Ratio: 1:100", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream", Lower Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Higher Results Are Better "a", "b", "c", "Neural Magic DeepSparse 1.3.2 - Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream", Lower Results Are Better "a", "b", "c", "OpenEMS 0.0.35-86 - Test: pyEMS Coupler", Higher Results Are Better "a", "b", "c", "OpenEMS 0.0.35-86 - Test: openEMS MSL_NotchFilter", Higher Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Only", Higher Results Are Better "a",18848.945183 "b",18350.229014 "c",18693.813991 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Write", Higher Results Are Better "a",568.425218 "b",573.705919 "c",564.052844 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Only", Higher Results Are Better "a",189854.651946 "b",190734.737097 "c",187166.843928 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Only", Higher Results Are Better "a",188986.061358 "b",172730.479387 "c",187969.426221 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 250 - Mode: Read Only", Higher Results Are Better "a",183891.950185 "b",178424.03702 "c",184156.953512 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Write", Higher Results Are Better "a",557.422604 "b",550.896536 "c",555.326649 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 500 - Mode: Read Only", Higher Results Are Better "a",180688.147192 "b",164072.49737 "c",176549.972477 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 800 - Mode: Read Only", Higher Results Are Better "a",137556.717441 "b",110229.035547 "c",120638.452974 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Only", Higher Results Are Better "a",19549.092999 "b",16746.706147 "c",20223.225576 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Write", Higher Results Are Better "a",418.16623 "b",545.373739 "c",474.44931 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 250 - Mode: Read Write", Higher Results Are Better "a",500.188092 "b",496.72422 "c",489.333907 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 500 - Mode: Read Write", Higher Results Are Better "a",388.146287 "b",420.601048 "c",386.686292 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 1 - Clients: 800 - Mode: Read Write", Higher Results Are Better "a",337.790418 "b",328.614059 "c",306.158163 "PostgreSQL 15 - Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Write", Higher Results Are Better "a",339.434575 "b",350.160393 "c",340.202841 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Only", Higher Results Are Better "a",185082.339745 "b",175403.879322 "c",174601.339703 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Only", Higher Results Are Better "a",163008.917248 "b",170385.568735 "c",162692.025919 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 250 - Mode: Read Only", Higher Results Are Better "a",154761.857726 "b",173250.316756 "c",167141.44506 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Write", Higher Results Are Better "a",4490.704993 "b",4770.34405 "c",3806.960899 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 500 - Mode: Read Only", Higher Results Are Better "a",168618.278086 "b",133815.375445 "c",98790.468719 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Only", Higher Results Are Better "a",106427.068945 "b",127387.319227 "c",121459.090418 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Write", Higher Results Are Better "a",5148.294728 "b",5036.389827 "c",4345.593124 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 250 - Mode: Read Write", Higher Results Are Better "a",5257.84313 "b",5059.51683 "c",4505.265922 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 500 - Mode: Read Write", Higher Results Are Better "a",5162.165429 "b",4721.038321 "c",4217.403428 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Write", Higher Results Are Better "a",4517.573196 "b",4513.902319 "c",4103.824243 "PostgreSQL 15 - Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency", Lower Results Are Better "a", "b", "c", "Unvanquished 0.54 - Resolution: 1920 x 1080 - Effects Quality: High", Higher Results Are Better "a", "b", "c", "Unvanquished 0.54 - Resolution: 1920 x 1080 - Effects Quality: Ultra", Higher Results Are Better "a", "b", "c", "Unvanquished 0.54 - Resolution: 1920 x 1080 - Effects Quality: Medium", Higher Results Are Better "a", "b", "c", "VVenC 1.7 - Video Input: Bosphorus 4K - Video Preset: Fast", Higher Results Are Better "a", "b", "c", "VVenC 1.7 - Video Input: Bosphorus 4K - Video Preset: Faster", Higher Results Are Better "a", "b", "c", "VVenC 1.7 - Video Input: Bosphorus 1080p - Video Preset: Fast", Higher Results Are Better "a", "b", "c", "VVenC 1.7 - Video Input: Bosphorus 1080p - Video Preset: Faster", Higher Results Are Better "a", "b", "c",