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&sro&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 Couplerbcw4812162013.7513.6913.751. (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 Runbcw163248648070.0268.4169.29MIN: 3.88 / MAX: 3157.89MIN: 3.84 / MAX: 2727.27MIN: 3.87 / MAX: 3750

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runbcw163248648072.5268.5669.58MIN: 3.86 / MAX: 4000MIN: 3.73 / MAX: 3750MIN: 3.89 / 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 Cachebcw142842567058.5461.9059.58MIN: 3.81 / MAX: 2000MIN: 3.88 / MAX: 3000MIN: 3.78 / MAX: 2857.14

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 Timebcw61218243023.6922.9823.18

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 Timebcw61218243026.2625.7725.39

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 Timebcw4812162015.0314.7914.47

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 Dataframebcw51015202521.8321.8521.77

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmarkbcw70140210280350303.09299.25302.68

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 Timebcw71421283529.6329.8328.98

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 Timebcw61218243024.2923.6424.29

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Repartition Test Timebcw51015202521.6021.3921.46

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 Dataframebcw51015202521.9121.6221.94

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmarkbcw70140210280350302.48297.54302.65

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 Timebcw51015202522.8922.2222.47

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 Timebcw61218243024.3023.7623.93

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Repartition Test Timebcw51015202521.0720.6721.28

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 Timebcw4812162013.7913.6413.33

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 Dataframebcw51015202521.7221.7122.00

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmarkbcw70140210280350302.31303.28301.90

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 Timebcw71421283528.5428.7728.69

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 Timebcw51015202521.9621.8021.54

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 Timebcw61218243023.7125.6323.87

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Repartition Test Timebcw51015202521.9620.6320.78

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 Timebcw369121513.0913.0012.70

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 Dataframebcw51015202521.7521.8121.74

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmarkbcw70140210280350302.88298.12302.54

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 Timebcw71421283528.4728.7027.86

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 Timebcw1.1432.2863.4294.5725.7155.084.705.00

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 Timebcw2468106.3300000006.0600000006.230323969

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test Timebcw2468106.056.005.92

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 Timebcw2468107.577.977.75

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 Dataframebcw51015202521.6121.8321.70

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmarkbcw70140210280350303.38298.15302.42

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 Timebcw0.9181.8362.7543.6724.594.044.083.98

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

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Apache Spark

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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

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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

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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

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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

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PostgreSQL

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PostgreSQL

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PostgreSQL

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

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PostgreSQL

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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

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PostgreSQL

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

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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

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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

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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

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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

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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 Onlybcw50K100K150K200K250K2110742034932232661. (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 Latencybcw2468106.1256.5166.4221. (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 Onlybcw30K60K90K120K150K1306041227711245811. (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 Latencybcw0.83031.66062.49093.32124.15153.6903.5173.2471. (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 Onlybcw30K60K90K120K150K1355181421671539751. (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 Latencybcw0.04410.08820.13230.17640.22050.1910.1960.1951. (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 Onlybcw60K120K180K240K300K2611982553872560791. (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-Streambcw70140210280350310.59307.60309.74

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-Streambcw369121512.8512.9612.89

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-Streambcw2004006008001000864.26856.22857.18

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-Streambcw1.04552.0913.13654.1825.22754.59194.64674.6229

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-Streambcw2040608010082.0782.1481.95

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-Streambcw112233445548.7248.6548.79

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-Streambcw2004006008001000879.99884.08880.90

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-Streambcw1.01282.02563.03844.05125.0644.49054.46824.5015

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-Streambcw50100150200250205.28208.19204.14

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-Streambcw51015202519.4819.2019.58

Memcached

Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:10bcw200K400K600K800K1000K831515.24834811.61834672.861. (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: 1:100bcw200K400K600K800K1000K790452.45785762.34792731.891. (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-Streambcw2004006008001000817.67727.15761.63

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-Streambcw1.23382.46763.70144.93526.1694.85835.48345.2165

RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fill Syncbcw1703405106808507667677571. (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-Streambcw2040608010076.6078.7477.90

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-Streambcw369121513.0512.7012.83

RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Random Fillbcw120K240K360K480K600K5717275609145698481. (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 Randombcw70K140K210K280K350K3044173035833060101. (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 Randombcw200K400K600K800K1000K7965077979107914261. (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 Readbcw6M12M18M24M30M2713113027452849272944391. (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-Streambcw61218243027.1326.8827.33

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-Streambcw91827364536.8437.1936.57

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-Streambcw50100150200250211.95213.01211.76

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-Streambcw1.06252.1253.18754.255.31254.71784.69454.7220

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-Streambcw50100150200250226.38223.46218.53

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-Streambcw1.02952.0593.08854.1185.14754.41724.47494.5757

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-Streambcw132639526557.8659.7758.07

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-Streambcw4812162017.2816.7317.22

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-Streambcw4080120160200190.67188.59187.97

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-Streambcw1.19692.39383.59074.78765.98455.24405.30205.3194

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-Streambcw20406080100111.26110.66109.54

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-Streambcw81624324035.8936.1336.48

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-Streambcw71421283531.4930.6230.96

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-Streambcw81624324031.7432.6532.29

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-Streambcw102030405045.5346.2645.67

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-Streambcw51015202521.9621.6121.89

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-Streambcw51015202521.7121.6121.54

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-Streambcw112233445546.0346.2546.41

RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 7.9.2Test: Sequential Fillbcw160K320K480K640K800K7318267286877383601. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Phoronix Test Suite v10.8.5