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&grr&rdt.

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 5openems: pyEMS Couplerclickhouse: 100M Rows Hits Dataset, Third Runclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, First Run / Cold Cachespark: 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 Timevvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterpgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlypgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 800 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writepgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - 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 - 800 - Read Only - Average Latencypgbench: 1 - 800 - Read Onlypgbench: 1 - 500 - Read Only - Average Latencypgbench: 1 - 500 - Read Onlypgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 250 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlyvvenc: Bosphorus 1080p - Fastunvanquished: 1920 x 1080 - Ultradeepsparse: 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 Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - 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-Streammemcached: 1:5memcached: 1:10memcached: 1:100deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamdeepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Streamunvanquished: 1920 x 1080 - Mediumunvanquished: 1920 x 1080 - Highdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamopenems: openEMS MSL_NotchFilterdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamvvenc: Bosphorus 1080p - Fasterdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-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-Streametlegacy: 1920 x 1080abc15.8868.2166.7762.095.576.907.208.0927.350376753379.0645811157.894.575.416.147.0427.393841671380.6875431337.253.844.365.416.3027.703114061380.6288481956.603.193.5696708035.315.4127.820282145382.9401005656.201.5913.587.51710642796.859516247.5485258177.086451819.42451482.96516861811.13444911.6151547620.271850820.6131630090.051195492.9463392368.3323381288.174388499.812500239.13941889.6995575.8161375572.7671806881.7595680.5291889860.2631898551.3591838920.053188495.335126.7280.497110.6658875.42953.4136199.125315.0625101.729629.4655866.75733.4341686914.92647418.98646102.05155.63446.4244734.58924.050255.236518.0982146.3162.2237.99644.2014307.6953.2499303.973.289760.9999.495910.049513.0799.492230.14240.478824.698149.044620.101169.437743.151256.408917.722826.308637.992125.916.0767.6867.0061.806.127.357.038.0227.62378.3452354657.934.605.445.866.8027.36379.897.753.844.535.466.5326.911759659376.1923765866.963.103.885.405.5927.29376.4548970546.091.6483.6446.28127387105.909472149.4125060177.23451419.85550363.73613381510.48147701.4431732500.2851754040.5871703860.06167472.8563502434.4673291188.775421503.297497183.3654590.7615517.2581102293.0471640721.7435740.5791727300.2621907351.4011784240.054183505.44590.7280.50110.6888887.62343.3567199.067915.0536101.212329.6151864.37653.4302680062.15661606.77604441.11156.08816.4058735.39924.052958.862516.9826120.1130.4238.68484.1893304.7583.2812303.47833.29560.8695.085310.515613.2999.448930.145739.604425.2431148.432720.162869.641543.047255.688717.951725.764738.794210415.4370.2269.1060.325.547.367.038.0527.221595518379.1932650347.884.605.526.316.9327.33378.6359382827.273.804.475.486.6527.50377.478591396.883.153.775.385.3827.47379.3024898876.181.6213.6016.587121459118.556421755.4914505194.94410423.01243465.0619879013.13438071.4961671410.2861746010.6151626920.049202232.9393402613.0283061293.038387510.899489210.77147490.0375556.6311206382.8321765501.7735640.5321879690.2671871671.3581841570.053186945.486.6282.935410.5687876.73073.4003200.01214.9442105.594428.3787860.17333.4656673400.06652041.2664570.89154.15946.4858738.29284.028760.260716.5889124.1123.8238.97954.1841299.13923.3428309.33383.232669.3390.431611.056713.06799.21930.222339.55625.2744149.484120.040269.895542.879256.417417.719925.880938.6199104.2OpenBenchmarking.org

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

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

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, 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

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

Apache Spark

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

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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 - Group By Test Time

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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 - Calculate Pi Benchmark

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Apache Spark

Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark 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: 1000 - Inner Join Test Time

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Inner Join Test Timeabc1.2422.4843.7264.9686.215.415.445.52

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframeabc61218243027.3927.3627.33

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmarkabc80160240320400380.69379.89378.64

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Timeabc2468107.257.757.27

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Timeabc0.8641.7282.5923.4564.323.843.843.80

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Inner Join Test Timeabc1.01932.03863.05794.07725.09654.364.534.47

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Repartition Test Timeabc1.2332.4663.6994.9326.1655.415.465.48

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 500 - Group By Test Timeabc2468106.306.536.65

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Timeabc0.71781.43562.15342.87123.5893.193.103.15

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Inner Join Test Timeabc0.8731.7462.6193.4924.3653.5696708033.8800000003.770000000

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Repartition Test Timeabc1.2152.433.6454.866.0755.315.405.38

Apache Spark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark 3.3Row Count: 1000000 - Partitions: 100 - Group By Test Timeabc1.25782.51563.77345.03126.2895.415.595.38

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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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

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PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average Latencyabc2468107.5176.2806.5871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

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PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average Latencyabc30609012015096.86105.91118.561. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

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PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latencyabc122436486047.5549.4155.491. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Writeabc110022003300440055005258506045051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average Latencyabc4080120160200177.09177.23194.941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

Scaling Factor: 100 - Clients: 800 - 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 Latencyabc61218243019.4219.8623.011. (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 Writeabc110022003300440055005148503643461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average Latencyabc1.13872.27743.41614.55485.69352.9653.7365.0611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Onlyabc40K80K120K160K200K168618133815987901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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: 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 Only - Average Latency

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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 - Average Latency

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PostgreSQL

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

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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: 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: 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: 800 - Mode: Read Only - Average Latency

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

Scaling Factor: 1 - Clients: 1 - 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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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PostgreSQL

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

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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 Only

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VVenC

Video Input: Bosphorus 1080p - Video Preset: Fast

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Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Ultra

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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: Asynchronous Multi-Stream

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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: Asynchronous Multi-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: Asynchronous Multi-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: Asynchronous Multi-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: Asynchronous Multi-Stream

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Memcached

Set To Get Ratio: 1:5

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Memcached

Set To Get Ratio: 1:10

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Memcached

Set To Get Ratio: 1:100

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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: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - 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: 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 Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream

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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

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: High

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

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Neural Magic DeepSparse

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

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Neural Magic DeepSparse

Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-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 Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream

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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

Neural Magic DeepSparse

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

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Neural Magic DeepSparse

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

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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 Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-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: NLP Text Classification, DistilBERT mnli - 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: 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 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-Streamabc163248648069.4469.6469.90

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 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-Streamabc132639526556.4155.6956.42

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-Streamabc4812162017.7217.9517.72

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-Streamabc61218243026.3125.7625.88

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

ET: Legacy

Resolution: 1920 x 1080

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

Phoronix Test Suite v10.8.5