2023 ryzen 5

AMD Ryzen 5 4500U testing with a LENOVO LNVNB161216 (EECN20WW BIOS) and AMD Renoir 512MB on Pop 22.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2302063-NE-2023RYZEN21&gru&sro.

2023 ryzen 5ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionabcAMD Ryzen 5 4500U @ 2.38GHz (6 Cores)LENOVO LNVNB161216 (EECN20WW BIOS)AMD Renoir/Cezanne16GB256GB SK hynix HFM256GDHTNI-87A0BAMD Renoir 512MB (1500/400MHz)AMD Renoir Radeon HD AudioRealtek RTL8822CE 802.11ac PCIePop 22.045.17.5-76051705-generic (x86_64)GNOME Shell 42.1X Server 1.21.1.34.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.44)1.2.204GCC 11.2.0ext41920x1080OpenBenchmarking.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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 Graphics Details- GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-RENOIR-025 Java Details- OpenJDK Runtime Environment (build 11.0.15+10-Ubuntu-0ubuntu0.22.04.1) Python Details- Python 3.10.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: 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

2023 ryzen 5etlegacy: 1920 x 1080unvanquished: 1920 x 1080 - Highunvanquished: 1920 x 1080 - Ultraunvanquished: 1920 x 1080 - Mediumvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fastervvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasterdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamopenems: pyEMS Coupleropenems: openEMS MSL_NotchFiltermemcached: 1:5memcached: 1:10memcached: 1:100clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runpgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Writepgbench: 1 - 50 - Read Onlypgbench: 1 - 100 - Read Onlypgbench: 1 - 250 - Read Onlypgbench: 1 - 50 - Read Writepgbench: 1 - 500 - Read Onlypgbench: 1 - 800 - Read Onlypgbench: 100 - 1 - Read Onlypgbench: 1 - 100 - Read Writepgbench: 1 - 250 - Read Writepgbench: 1 - 500 - Read Writepgbench: 1 - 800 - Read Writepgbench: 100 - 1 - Read Writepgbench: 100 - 50 - Read Onlypgbench: 100 - 100 - Read Onlypgbench: 100 - 250 - Read Onlypgbench: 100 - 50 - Read Writepgbench: 100 - 500 - Read Onlypgbench: 100 - 800 - Read Onlypgbench: 100 - 100 - Read Writepgbench: 100 - 250 - Read Writepgbench: 100 - 500 - Read Writepgbench: 100 - 800 - Read Writepgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 500 - Read Only - Average Latencypgbench: 1 - 800 - Read Only - Average Latencypgbench: 100 - 1 - Read Only - Average Latencypgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 250 - Read Write - Average Latencypgbench: 1 - 500 - Read Write - Average Latencypgbench: 1 - 800 - Read Write - Average Latencypgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 800 - Read Write - Average Latencydeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspark: 1000000 - 100 - SHA-512 Benchmark Timespark: 1000000 - 100 - Calculate Pi Benchmarkspark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 100 - Group By Test Timespark: 1000000 - 100 - Repartition Test Timespark: 1000000 - 100 - Inner Join Test Timespark: 1000000 - 100 - Broadcast Inner Join Test Timespark: 1000000 - 500 - SHA-512 Benchmark Timespark: 1000000 - 500 - Calculate Pi Benchmarkspark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 500 - Group By Test Timespark: 1000000 - 500 - Repartition Test Timespark: 1000000 - 500 - Inner Join Test Timespark: 1000000 - 500 - Broadcast Inner Join Test Timespark: 1000000 - 1000 - SHA-512 Benchmark Timespark: 1000000 - 1000 - Calculate Pi Benchmarkspark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 1000 - Group By Test Timespark: 1000000 - 1000 - Repartition Test Timespark: 1000000 - 1000 - Inner Join Test Timespark: 1000000 - 1000 - Broadcast Inner Join Test Timespark: 1000000 - 2000 - SHA-512 Benchmark Timespark: 1000000 - 2000 - Calculate Pi Benchmarkspark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframespark: 1000000 - 2000 - Group By Test Timespark: 1000000 - 2000 - Repartition Test Timespark: 1000000 - 2000 - Inner Join Test Timespark: 1000000 - 2000 - Broadcast Inner Join Test Timeabc125.9162.2126.7146.31.5913.585.33513.073.41363.289729.465518.098210.66586.424420.101117.722843.151237.99230.14224.6984.05024.201415.062510.04953.43413.249915.8860.99686914.92647418.98646102.0562.0966.7768.211884956818985518898618389255718068813755719549418500388338339185082163009154762449116861810642751485258516245180.0531.7590.2630.5291.35989.6992.7675.8160.051239.139499.8121288.1742368.3322.9460.270.6131.61511.1342.9657.51719.42447.54896.859177.086875.4295303.97101.729655.2365280.4971155.6344149.044656.408969.437726.308699.492240.4788734.5892237.9964199.125399.4959866.7573307.6956.20382.94010056527.8202821455.415.313.5696708033.196.60380.62884819527.7031140616.305.414.363.847.25380.68754313327.3938416717.046.145.414.577.89379.06458111527.3503767538.097.206.905.57104130.490.7120.11.6483.6445.44513.293.35673.29529.615116.982610.68886.405820.162817.951743.047238.794230.145725.24314.05294.189315.053610.51563.43023.281216.0760.86680062.15661606.77604441.1161.8067.0067.681835057419073517273017842455116407211022916747545497421329350175404170386173250477013381512738750365060472145140.0541.7430.2620.5791.40190.7613.0477.2580.06183.36503.2971188.7752434.4672.8560.2850.5871.44310.4813.7366.2819.85549.412105.909177.23887.6234303.4783101.212358.8625280.501156.0881148.432755.688769.641525.764799.448939.6044735.3992238.6848199.067995.0853864.3765304.7586.09376.45489705427.295.595.403.883.106.96376.19237658626.9117596596.535.464.533.847.75379.8927.366.805.865.444.607.93378.34523546527.628.027.037.356.12104.2123.886.6124.11.6213.6015.413.0673.40033.232628.378716.588910.56876.485820.040217.719942.879238.619930.222325.27444.02874.184114.944211.05673.46563.342815.4369.33673400.06652041.2664570.8960.3269.1070.22186945641871671879691841575551765501206382022347448938730634017460116269216714138079879012145943464505421741040.0531.7730.2670.5321.35890.0372.8326.6310.049210.771510.8991293.0382613.0282.9390.2860.6151.49613.1345.0616.58723.01255.491118.556194.94876.7307309.3338105.594460.2607282.9354154.1594149.484156.417469.895525.880999.21939.556738.2928238.9795200.01290.4316860.1733299.13926.18379.30248988727.475.385.383.773.156.88377.4785913927.506.655.484.473.807.27378.63593828227.336.936.315.524.607.88379.19326503427.2215955188.057.037.365.54OpenBenchmarking.org

ET: Legacy

Resolution: 1920 x 1080

OpenBenchmarking.orgFrames Per Second, More Is BetterET: Legacy 2.81Resolution: 1920 x 1080abc306090120150125.9104.0104.2

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: High

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: Highabc4080120160200162.2130.4123.8

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Ultra

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: Ultraabc306090120150126.790.786.6

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.54Resolution: 1920 x 1080 - Effects Quality: Mediumabc306090120150146.3120.1124.1

VVenC

Video Input: Bosphorus 4K - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fastabc0.37080.74161.11241.48321.8541.5911.6481.6211. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

VVenC

Video Input: Bosphorus 4K - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 4K - Video Preset: Fasterabc0.81991.63982.45973.27964.09953.5803.6443.6011. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

VVenC

Video Input: Bosphorus 1080p - Video Preset: Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: Fastabc1.22512.45023.67534.90046.12555.3355.4455.4001. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

VVenC

Video Input: Bosphorus 1080p - Video Preset: Faster

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.7Video Input: Bosphorus 1080p - Video Preset: Fasterabc369121513.0713.2913.071. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto

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-Streamabc0.76811.53622.30433.07243.84053.41363.35673.4003

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-Streamabc0.74141.48282.22422.96563.7073.28973.29503.2326

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-Streamabc71421283529.4729.6228.38

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-Streamabc4812162018.1016.9816.59

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-Streamabc369121510.6710.6910.57

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-Streamabc2468106.42446.40586.4858

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-Streamabc51015202520.1020.1620.04

Neural Magic DeepSparse

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

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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-Streamabc102030405043.1543.0542.88

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-Streamabc91827364537.9938.7938.62

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-Streamabc71421283530.1430.1530.22

Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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OpenEMS

Test: pyEMS Coupler

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: pyEMS Couplerabc4812162015.8816.0715.431. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat

OpenEMS

Test: openEMS MSL_NotchFilter

OpenBenchmarking.orgMCells/s, More Is BetterOpenEMS 0.0.35-86Test: openEMS MSL_NotchFilterabc153045607560.9960.8669.331. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat

Memcached

Set To Get Ratio: 1:5

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:5abc150K300K450K600K750K686914.92680062.15673400.061. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Memcached

Set To Get Ratio: 1:10

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.18Set To Get Ratio: 1:10abc140K280K420K560K700K647418.98661606.77652041.201. (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: 1:100abc140K280K420K560K700K646102.05604441.11664570.891. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 Cacheabc142842567062.0961.8060.32MIN: 3.48 / MAX: 2608.7MIN: 3.46 / MAX: 2307.69MIN: 3.49 / MAX: 3157.89

ClickHouse

100M Rows Hits Dataset, Second Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second Runabc153045607566.7767.0069.10MIN: 3.58 / MAX: 2400MIN: 3.55 / MAX: 3529.41MIN: 3.59 / MAX: 4615.38

ClickHouse

100M Rows Hits Dataset, Third Run

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third Runabc163248648068.2167.6870.22MIN: 3.59 / MAX: 2608.7MIN: 3.57 / MAX: 2727.27MIN: 3.6 / MAX: 3157.89

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 1 - Mode: Read Onlyabc4K8K12K16K20K1884918350186941. (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 Writeabc1202403604806005685745641. (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 Onlyabc40K80K120K160K200K1898551907351871671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 100 - Mode: Read Onlyabc40K80K120K160K200K1889861727301879691. (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 Onlyabc40K80K120K160K200K1838921784241841571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 1 - Clients: 50 - Mode: Read Writeabc1202403604806005575515551. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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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

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PostgreSQL

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

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PostgreSQL

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

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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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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Apache Spark

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

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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 - Calculate Pi Benchmark Using Dataframe

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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 - Repartition 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 - Broadcast Inner Join Test Time

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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: 500 - Calculate Pi Benchmark

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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 - Group By 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 - Inner Join Test 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: 1000 - SHA-512 Benchmark Time

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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 - Calculate Pi Benchmark Using Dataframe

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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 - Repartition Test Time

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Apache Spark

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

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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 Timeabc1.0352.073.1054.145.1754.574.604.60

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 Timeabc2468107.897.937.88

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmarkabc80160240320400379.06378.35379.19

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 Dataframeabc61218243027.3527.6227.22

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 Timeabc2468108.098.028.05

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 2000 - Repartition Test Timeabc2468107.207.037.03

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 Timeabc2468106.907.357.36

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 Timeabc2468105.576.125.54

Phoronix Test Suite v10.8.5