dwq

AMD Ryzen 7 4700U testing with a LENOVO LNVNB161216 (DTCN18WWV1.04 BIOS) and AMD Renoir 512MB on Ubuntu 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2302021-NE-DWQ81086357&sor&grr.

dwqProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionwbcAMD Ryzen 7 4700U @ 2.00GHz (8 Cores)LENOVO LNVNB161216 (DTCN18WWV1.04 BIOS)AMD Renoir/Cezanne16GB512GB SAMSUNG MZALQ512HALU-000L2AMD Renoir 512MB (1600/400MHz)AMD Renoir Radeon HD AudioIntel Wi-Fi 6 AX200Ubuntu 22.045.18.8-051808-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.46)1.3.204GCC 11.3.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0x8600102 - ACPI Profile: balanced Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04) Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

dwqopenems: pyEMS Couplerclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachespark: 10000000 - 2000 - Broadcast Inner Join Test Timespark: 10000000 - 2000 - Inner Join Test Timespark: 10000000 - 2000 - Repartition Test Timespark: 10000000 - 2000 - Group By Test Timespark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 2000 - Calculate Pi Benchmarkspark: 10000000 - 2000 - SHA-512 Benchmark Timespark: 10000000 - 100 - Broadcast Inner Join Test Timespark: 10000000 - 100 - Inner Join Test Timespark: 10000000 - 100 - Repartition Test Timespark: 10000000 - 100 - Group By Test Timespark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 100 - Calculate Pi Benchmarkspark: 10000000 - 100 - SHA-512 Benchmark Timespark: 10000000 - 1000 - Broadcast Inner Join Test Timespark: 10000000 - 1000 - Inner Join Test Timespark: 10000000 - 1000 - Repartition Test Timespark: 10000000 - 1000 - Group By Test Timespark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 1000 - Calculate Pi Benchmarkspark: 10000000 - 1000 - SHA-512 Benchmark Timespark: 10000000 - 500 - Broadcast Inner Join Test Timespark: 10000000 - 500 - Inner Join Test Timespark: 10000000 - 500 - Repartition Test Timespark: 10000000 - 500 - Group By Test Timespark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 10000000 - 500 - Calculate Pi Benchmarkspark: 10000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 1000 - Group By Test Timespark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 500 - Group By Test Timespark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 100 - SHA-512 Benchmark Timekeydb: HMSET - 100keydb: HMSET - 50keydb: LPUSH - 100keydb: SET - 100keydb: LPOP - 100keydb: SADD - 100keydb: GET - 100keydb: LPUSH - 50pgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 1000 - Read Writepgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 800 - Read Writepgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 1000 - Read Only - Average Latencypgbench: 100 - 1000 - Read Onlypgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlykeydb: LPOP - 50pgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Onlykeydb: SET - 50keydb: SADD - 50keydb: GET - 50pgbench: 1 - 1000 - Read Write - Average Latencypgbench: 1 - 1000 - Read Writepgbench: 1 - 800 - Read Write - Average Latencypgbench: 1 - 800 - Read Writepgbench: 1 - 500 - Read Write - Average Latencypgbench: 1 - 500 - Read Writepgbench: 1 - 250 - Read Write - Average Latencypgbench: 1 - 250 - Read Writepgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 100 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 800 - Read Only - Average Latencypgbench: 1 - 800 - Read Onlypgbench: 1 - 500 - Read Only - Average Latencypgbench: 1 - 500 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlypgbench: 1 - 1000 - Read Only - Average Latencypgbench: 1 - 1000 - Read Onlypgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 250 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlyopenems: openEMS MSL_NotchFilterdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streammemcached: 1:10memcached: 1:5memcached: 1:100deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamrocksdb: Rand Fill Syncdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamrocksdb: Rand Fillrocksdb: Read While Writingrocksdb: Update Randrocksdb: Read Rand Write Randrocksdb: Rand Readdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamrocksdb: Seq Fillpgbench: 1 - 5000 - Read Onlywbc13.7569.2969.5859.5823.18064590125.3921.90680120614.47343501321.77302.6798892128.97613351124.52118224924.2921.45661490614.28316038521.94302.65142856831.03599542922.4723.93341763821.28016434413.3322.00301.8983047828.69043397221.54351978923.8720.7812.69793362421.74302.53790755327.865.006.2303239695.927.7521.704311512302.4183592067.743.984.665.536.8021.770290496303.171229057.163.453.985.036.5221.781226423303.0961566166.092.853.424.565.91682394521.78353398301.7788223245.78197850.55243997.66289256.44292498.59310788.72303482.78307768.06322162.88256.7033896215.8737060.061164709.224108416118.567421723.288429455.42245117.3421089571.79513928014.95933433.6791359203.5392830.511195722364758.50.207241562342479.81360976.94369786.944714.5692123731.8972141890.798264825.922303288.674346142.6773500.4482232666.4221245813.2471539750.057173928.0991234733.1683161.591572260.19525607941.69309.738312.8858857.18024.622981.949248.7904880.89984.5015204.139619.5812834672.86881038.49792731.89761.63335.216575777.899912.83485698487491773060107914262729443927.331336.5718211.76344.722218.53374.575758.072117.217187.97125.3194109.537836.4824153.621525.976430.963932.285477.54551.491645.671121.887721.535246.410173836013.7570.0272.5258.5423.69366816426.2621.3715.03279371521.83303.09437539929.6324.12405236224.2921.6013.9121.91302.47954138730.8722.8924.3021.0713.7921.72302.3128.5421.96235256823.71398461121.9613.0921.75302.87564540228.475.086.336.057.5721.61303.3768131887.594.044.755.466.8221.786483427302.4666587056.733.484.164.976.1921.77302.826.033.013.475.135.7421.70302.675.88195504.95241013.8275570.16301326.44290178.06303680298655.44322381281.363554227.17635220.057175739.449105826133.559374434.093293365.69738056.4891232771.67314942816.07831103.5191420973.3682970.487205277328344.660.206242936343064.97355499.94360287.664466.6032243547.2292261774.021282758.745329293.812340155.6233210.4742110746.1251306043.691355180.051195647.8961266522.973371.0682339760.19126119841.87310.588112.8497864.26154.591982.072648.7212879.99414.4905205.28119.4755831515.24883520.2790452.45817.67184.858376676.603613.05185717277701923044177965072713113027.134236.836211.95264.7178226.37844.417257.857517.2808190.67325.244111.257135.8871149.299626.725731.494931.740276.597552.148445.526221.957221.709946.034473182613.6968.4168.5661.9022.9825.7721.4814.7921.85299.25125431329.8324.21974400323.6421.3914.2421.62297.5430.8822.2223.7620.6713.6421.71303.27504277928.77477103321.8025.6320.6313.0021.81298.12487283128.7015853884.706.066.007.9721.83298.1483561877.654.084.795.476.9221.75297.7210913956.933.334.094.916.4021.725295819297.8939421166.292.793.424.635.8421.64298.322761015.75196921.72242171.8277451284728.31286449.25301431.81309797.03322966.12307.2183255231.51634550.06166757.997125042156.489319528.266353868.83836326.8561166841.78613997316.58430153.8721291293.3123020.497201277329246.280.213234435343137.91360394.12357666.594781.452093535.9962261820.51275833.694300302.127331149.0523350.4912034936.5161227713.5171421670.052192527.8971266333.0283301.5821580240.19625538741.69307.602712.9589856.22134.646782.141148.6483884.07834.4682208.192119.2046834811.61881419.05785762.34727.15195.483476778.741712.69765609147548023035837979102745284926.880237.1855213.00514.6945223.45794.474959.765116.7294188.58565.302110.658736.1303152.846826.115430.620932.646777.31351.656646.264321.607221.611146.2472728687OpenBenchmarking.org

OpenEMS

Test: pyEMS Coupler

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: pyEMS Couplerbwc4812162013.7513.7513.691. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runbwc163248648070.0269.2968.41MIN: 3.88 / MAX: 3157.89MIN: 3.87 / MAX: 3750MIN: 3.84 / MAX: 2727.27

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runbwc163248648072.5269.5868.56MIN: 3.86 / MAX: 4000MIN: 3.89 / MAX: 3750MIN: 3.73 / MAX: 3750

ClickHouse

100M Rows Hits Dataset, First Run / Cold Cache

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold Cachecwb142842567061.9059.5858.54MIN: 3.88 / MAX: 3000MIN: 3.78 / MAX: 2857.14MIN: 3.81 / MAX: 2000

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Timecwb61218243022.9823.1823.69

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Inner Join Test Timewcb61218243025.3925.7726.26

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Repartition Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Repartition Test Timebcw51015202521.3721.4821.91

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Group By Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Group By Test Timewcb4812162014.4714.7915.03

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframewbc51015202521.7721.8321.85

Apache Spark

Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmarkcwb70140210280350299.25302.68303.09

Apache Spark

Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Timewbc71421283528.9829.6329.83

Apache Spark

Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Timebcw61218243024.1224.2224.52

Apache Spark

Row Count: 10000000 - Partitions: 100 - Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Inner Join Test Timecwb61218243023.6424.2924.29

Apache Spark

Row Count: 10000000 - Partitions: 100 - Repartition Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test Timecwb51015202521.3921.4621.60

Apache Spark

Row Count: 10000000 - Partitions: 100 - Group By Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Group By Test Timebcw4812162013.9114.2414.28

Apache Spark

Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframecbw51015202521.6221.9121.94

Apache Spark

Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmarkcbw70140210280350297.54302.48302.65

Apache Spark

Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Timebcw71421283530.8730.8831.04

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Timecwb51015202522.2222.4722.89

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Inner Join Test Timecwb61218243023.7623.9324.30

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Repartition Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test Timecbw51015202520.6721.0721.28

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Group By Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Group By Test Timewcb4812162013.3313.6413.79

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframecbw51015202521.7121.7222.00

Apache Spark

Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmarkwbc70140210280350301.90302.31303.28

Apache Spark

Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Timebwc71421283528.5428.6928.77

Apache Spark

Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Timewcb51015202521.5421.8021.96

Apache Spark

Row Count: 10000000 - Partitions: 500 - Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Inner Join Test Timebwc61218243023.7123.8725.63

Apache Spark

Row Count: 10000000 - Partitions: 500 - Repartition Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test Timecwb51015202520.6320.7821.96

Apache Spark

Row Count: 10000000 - Partitions: 500 - Group By Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Group By Test Timewcb369121512.7013.0013.09

Apache Spark

Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframewbc51015202521.7421.7521.81

Apache Spark

Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmarkcwb70140210280350298.12302.54302.88

Apache Spark

Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Timewbc71421283527.8628.4728.70

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Timecwb1.1432.2863.4294.5725.7154.705.005.08

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Inner Join Test Timecwb2468106.0600000006.2303239696.330000000

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Repartition Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test Timewcb2468105.926.006.05

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Group By Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Group By Test Timebwc2468107.577.757.97

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframebwc51015202521.6121.7021.83

Apache Spark

Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmarkcwb70140210280350298.15302.42303.38

Apache Spark

Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Timebcw2468107.597.657.74

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Timewbc0.9181.8362.7543.6724.593.984.044.08

Apache Spark

Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 1000 - Repartition Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 1000 - Group By Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe

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Apache Spark

Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark

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Apache Spark

Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time

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Apache Spark

Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 500 - Inner Join Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 500 - Repartition Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 500 - Group By Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe

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Apache Spark

Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark

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Apache Spark

Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time

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Apache Spark

Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 100 - Inner Join Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 100 - Repartition Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 100 - Group By Test Time

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Apache Spark

Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe

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Apache Spark

Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark

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Apache Spark

Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time

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KeyDB

Test: HMSET - Parallel Connections: 100

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KeyDB

Test: HMSET - Parallel Connections: 50

OpenBenchmarking.orgRequests Per Second, More Is BetterKeyDB 6.3.2Test: HMSET - Parallel Connections: 50wcb50K100K150K200K250K243997.66242171.80241013.801. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD

KeyDB

Test: LPUSH - Parallel Connections: 100

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KeyDB

Test: SET - Parallel Connections: 100

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KeyDB

Test: LPOP - Parallel Connections: 100

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KeyDB

Test: SADD - Parallel Connections: 100

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KeyDB

Test: GET - Parallel Connections: 100

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KeyDB

Test: LPUSH - Parallel Connections: 50

OpenBenchmarking.orgRequests Per Second, More Is BetterKeyDB 6.3.2Test: LPUSH - Parallel Connections: 50cbw70K140K210K280K350K322966.12322381.00322162.881. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD

PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Write

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PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Write

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PostgreSQL

Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 1 - Mode: Read Only

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PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 1000 - Mode: Read Only

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PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Write

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PostgreSQL

Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latencywcb81624324023.2928.2734.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 100 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read Writewcb90018002700360045004294353829331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 250 - Mode: Read Write

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PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 800 - Mode: Read Only

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PostgreSQL

Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latencybcw0.40390.80781.21171.61562.01951.6731.7861.7951. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 250 - Mode: Read Only

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PostgreSQL

Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 50 - Mode: Read Write

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PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 500 - Mode: Read Only

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PostgreSQL

Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 1 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 1 - Mode: Read Writecbw701402102803503022972831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 100 - Mode: Read Only

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KeyDB

Test: LPOP - Parallel Connections: 50

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PostgreSQL

Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency

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PostgreSQL

Scaling Factor: 100 - Clients: 50 - Mode: Read Only

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KeyDB

Test: SET - Parallel Connections: 50

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KeyDB

Test: SADD - Parallel Connections: 50

OpenBenchmarking.orgRequests Per Second, More Is BetterKeyDB 6.3.2Test: SADD - Parallel Connections: 50wcb80K160K240K320K400K360976.94360394.12355499.941. (CXX) g++ options: -ggdb -rdynamic -lm -lz -lcrypto -lbz2 -lzstd -llz4 -lsnappy -latomic -ldl -pthread -lrt -luuid -lcurl -lssl -std=c++14 -pedantic -fno-rtti -O2 -flto -MMD

KeyDB

Test: GET - Parallel Connections: 50

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PostgreSQL

Scaling Factor: 1 - Clients: 1000 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 1 - Clients: 1000 - Mode: Read Write

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PostgreSQL

Scaling Factor: 1 - Clients: 800 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 1 - Clients: 800 - Mode: Read Write

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PostgreSQL

Scaling Factor: 1 - Clients: 500 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 1 - Clients: 500 - Mode: Read Write

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PostgreSQL

Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 1 - Clients: 250 - Mode: Read Write

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PostgreSQL

Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 1 - Clients: 100 - Mode: Read Write

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PostgreSQL

Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency

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PostgreSQL

Scaling Factor: 1 - Clients: 50 - Mode: Read Write

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PostgreSQL

Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency

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PostgreSQL

Scaling Factor: 1 - Clients: 100 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 100 - Mode: Read Onlywbc50K100K150K200K250K2232662110742034931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 800 - Mode: Read Only - Average Latencybwc2468106.1256.4226.5161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 800 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 800 - Mode: Read Onlybwc30K60K90K120K150K1306041245811227711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 500 - Mode: Read Only - Average Latencywcb0.83031.66062.49093.32124.15153.2473.5173.6901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 500 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 500 - Mode: Read Onlywcb30K60K90K120K150K1539751421671355181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latencybcw0.01280.02560.03840.05120.0640.0510.0520.0571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 1 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 1 - Mode: Read Onlybcw4K8K12K16K20K1956419252173921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 1000 - Mode: Read Only - Average Latencybcw2468107.8967.8978.0991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 1000 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 1000 - Mode: Read Onlybcw30K60K90K120K150K1266521266331234731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latencybcw0.71281.42562.13842.85123.5642.9703.0283.1681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 1 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 1 - Mode: Read Writebcw701402102803503373303161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latencybcw0.35780.71561.07341.43121.7891.0681.5821.5901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 250 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 250 - Mode: Read Onlybcw50K100K150K200K250K2339761580241572261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latencybwc0.04410.08820.13230.17640.22050.1910.1950.1961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 1 - Clients: 50 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 50 - Mode: Read Onlybwc60K120K180K240K300K2611982560792553871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenEMS

Test: openEMS MSL_NotchFilter

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: openEMS MSL_NotchFilterbcw102030405041.8741.6941.691. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamcwb70140210280350307.60309.74310.59

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Streamcwb369121512.9612.8912.85

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamcwb2004006008001000856.22857.18864.26

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamcwb1.04552.0913.13654.1825.22754.64674.62294.5919

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamwbc2040608010081.9582.0782.14

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Streamwbc112233445548.7948.7248.65

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streambwc2004006008001000879.99880.90884.08

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamwbc1.01282.02563.03844.05125.0644.50154.49054.4682

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamwbc50100150200250204.14205.28208.19

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Streamwbc51015202519.5819.4819.20

Memcached

Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:10cwb200K400K600K800K1000K834811.61834672.86831515.241. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:5bcw200K400K600K800K1000K883520.20881419.05881038.491. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:100

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:100wbc200K400K600K800K1000K792731.89790452.45785762.341. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamcwb2004006008001000727.15761.63817.67

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamcwb1.23382.46763.70144.93526.1695.48345.21654.8583

RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill Synccbw1703405106808507677667571. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streambwc2040608010076.6077.9078.74

Neural Magic DeepSparse

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Streambwc369121513.0512.8312.70

RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fillbwc120K240K360K480K600K5717275698485609141. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read While Writingbcw160K320K480K640K800K7701927548027491771. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Update Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Update Randomwbc70K140K210K280K350K3060103044173035831. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Read Random Write Random

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Read Random Write Randomcbw200K400K600K800K1000K7979107965077914261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Readcwb6M12M18M24M30M2745284927294439271311301. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamcbw61218243026.8827.1327.33

Neural Magic DeepSparse

Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Streamcbw91827364537.1936.8436.57

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamwbc50100150200250211.76211.95213.01

Neural Magic DeepSparse

Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamwbc1.06252.1253.18754.255.31254.72204.71784.6945

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamwcb50100150200250218.53223.46226.38

Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamwcb1.02952.0593.08854.1185.14754.57574.47494.4172

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streambwc132639526557.8658.0759.77

Neural Magic DeepSparse

Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Streambwc4812162017.2817.2216.73

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamwcb4080120160200187.97188.59190.67

Neural Magic DeepSparse

Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamwcb1.19692.39383.59074.78765.98455.31945.30205.2440

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamwcb20406080100109.54110.66111.26

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamwcb81624324036.4836.1335.89

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streambcw306090120150149.30152.85153.62

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streambcw61218243026.7326.1225.98

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamcwb71421283530.6230.9631.49

Neural Magic DeepSparse

Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamcwb81624324032.6532.2931.74

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streambcw2040608010076.6077.3177.55

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streambcw122436486052.1551.6651.49

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streambwc102030405045.5345.6746.26

Neural Magic DeepSparse

Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streambwc51015202521.9621.8921.61

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamwcb51015202521.5421.6121.71

Neural Magic DeepSparse

Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.3.2Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamwcb112233445546.4146.2546.03

RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Sequential Fillwbc160K320K480K640K800K7383607318267286871. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Phoronix Test Suite v10.8.5