dga

AMD Ryzen 7 PRO 5850U testing with a LENOVO 20XF004WUS (R1NET57W 1.27 BIOS) and AMD Radeon Vega / Mobile 1GB on Fedora Linux 39 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2312062-NE-DGA90536810
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December 06 2023
  17 Hours, 3 Minutes
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December 06 2023
  16 Hours, 44 Minutes
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December 06 2023
  16 Hours, 57 Minutes
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dgaOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 PRO 5850U @ 4.51GHz (8 Cores / 16 Threads)LENOVO 20XF004WUS (R1NET57W 1.27 BIOS)AMD Renoir/Cezanne32GB1024GB SAMSUNG MZVLB1T0HBLR-000L7AMD Radeon Vega / Mobile 1GBAMD Renoir Radeon HD AudioRealtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCIFedora Linux 396.5.8-300.fc39.x86_64 (x86_64)GNOME Shell 45.0X Server + Wayland4.6 Mesa 23.2.1 (LLVM 16.0.6 DRM 3.54)GCC 13.2.1 20230918btrfs3840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionDga BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa50000d - ACPI Profile: balanced - OpenJDK Runtime Environment (Red_Hat-17.0.8.0.7-1.fc39) (build 17.0.8+7)- Python 3.12.0- SELinux + gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Mitigation of safe RET no microcode + 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: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcResult OverviewPhoronix Test Suite100%106%112%118%124%Apache Spark TPC-HScyllaDBScyllaDBApache Spark TPC-HScyllaDBApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-HApache Spark TPC-H10 - G.M.O.A.QMixed 1:3Mixed 1:150 - G.M.O.A.QWrites1 - G.M.O.A.Q1 - Q011 - Q021 - Q031 - Q041 - Q051 - Q061 - Q071 - Q081 - Q091 - Q101 - Q111 - Q121 - Q131 - Q141 - Q151 - Q161 - Q171 - Q181 - Q191 - Q201 - Q211 - Q2210 - Q0110 - Q0210 - Q0310 - Q0410 - Q0510 - Q0610 - Q0710 - Q0810 - Q0910 - Q1010 - Q1110 - Q1210 - Q1310 - Q1410 - Q1510 - Q1610 - Q1710 - Q1810 - Q1910 - Q2010 - Q2110 - Q2250 - Q0150 - Q0250 - Q0350 - Q0450 - Q0550 - Q0650 - Q0750 - Q0850 - Q0950 - Q1050 - Q1150 - Q1250 - Q1350 - Q1450 - Q1550 - Q1650 - Q1750 - Q1850 - Q1950 - Q2050 - Q2150 - Q22

dgaspark-tpch: 1 - Geometric Mean Of All Queriesspark-tpch: 1 - Q01spark-tpch: 1 - Q02spark-tpch: 1 - Q03spark-tpch: 1 - Q04spark-tpch: 1 - Q05spark-tpch: 1 - Q06spark-tpch: 1 - Q07spark-tpch: 1 - Q08spark-tpch: 1 - Q09spark-tpch: 1 - Q10spark-tpch: 1 - Q11spark-tpch: 1 - Q12spark-tpch: 1 - Q13spark-tpch: 1 - Q14spark-tpch: 1 - Q15spark-tpch: 1 - Q16spark-tpch: 1 - Q17spark-tpch: 1 - Q18spark-tpch: 1 - Q19spark-tpch: 1 - Q20spark-tpch: 1 - Q21spark-tpch: 1 - Q22spark-tpch: 10 - Geometric Mean Of All Queriesspark-tpch: 10 - Q01spark-tpch: 10 - Q02spark-tpch: 10 - Q03spark-tpch: 10 - Q04spark-tpch: 10 - Q05spark-tpch: 10 - Q06spark-tpch: 10 - Q07spark-tpch: 10 - Q08spark-tpch: 10 - Q09spark-tpch: 10 - Q10spark-tpch: 10 - Q11spark-tpch: 10 - Q12spark-tpch: 10 - Q13spark-tpch: 10 - Q14spark-tpch: 10 - Q15spark-tpch: 10 - Q16spark-tpch: 10 - Q17spark-tpch: 10 - Q18spark-tpch: 10 - Q19spark-tpch: 10 - Q20spark-tpch: 10 - Q21spark-tpch: 10 - Q22spark-tpch: 50 - Geometric Mean Of All Queriesspark-tpch: 50 - Q01spark-tpch: 50 - Q02spark-tpch: 50 - Q03spark-tpch: 50 - Q04spark-tpch: 50 - Q05spark-tpch: 50 - Q06spark-tpch: 50 - Q07spark-tpch: 50 - Q08spark-tpch: 50 - Q09spark-tpch: 50 - Q10spark-tpch: 50 - Q11spark-tpch: 50 - Q12spark-tpch: 50 - Q13spark-tpch: 50 - Q14spark-tpch: 50 - Q15spark-tpch: 50 - Q16spark-tpch: 50 - Q17spark-tpch: 50 - Q18spark-tpch: 50 - Q19spark-tpch: 50 - Q20spark-tpch: 50 - Q21spark-tpch: 50 - Q22scylladb: Writesscylladb: Mixed 1:1scylladb: Mixed 1:3abc2.180706174.35311892.442423823.276102782.49393942.861648081.201076632.74143912.437819244.029423242.817228081.077466252.037358051.464547991.588815691.54193331.147567633.277454143.925642491.495845562.254778158.61152841.2831596114.038489816.185924535.6092109718.2498130816.2612686220.4320373510.3620117.0664730120.2396640826.4525718717.272905353.6781868914.550239568.7935590712.151305211.374161724.7075157231.1239318833.0457801811.9121828114.7618808763.059909825.0196065976.6458318477.8275756819.53614998104.6401138394.13659668115.0673065265.7549057103.13657379111.74044037136.5025024498.0459747317.7690792192.1269836435.8111343473.2916107268.7273712217.71334076182.8631134190.4784545972.5570831387.50922394393.6142578127.177944184093138697390872.180817824.421857362.717262513.235719923.036400562.852707861.449706082.600705862.437848573.904681922.558968781.086595062.004390721.475726721.60209061.585024481.183397173.361462124.021189691.408951042.187259449.104104041.3452643213.7699013515.249186525.9990334517.9950656916.0149574320.1251926410.4360742616.8429279319.8000717225.7549381316.168586733.7889990814.600934037.3021011412.042903911.77711014.5572476430.4407272333.010589612.3252887714.7662706463.716552734.8362531775.103355575.6955947919.25700188103.6725540290.640625115.4232788163.82765579100.50655365109.07578278134.8387756395.6832580617.1227664990.0522689836.1166191171.9592361566.8524551417.56357765177.82366943188.0260772771.2958526684.96237946383.9320983926.495092394086937853392292.156607144.370207312.71282533.054151772.6146092.976404911.172515992.7230682.359636553.984516142.578029871.077379582.02407981.510092851.519887211.482332231.263191223.203422314.206056591.373515372.22368368.510312081.2761143414.2679253715.384394655.4236297618.7595615416.0120334620.2320938110.4777822516.8621597319.0598831230.3121585816.231195453.8657374414.565818797.2521266912.5054569211.728716855.3294744535.044773133.8747062712.4438905714.9958906264.090850834.8644580875.8780794574.9233322119.83137894102.8938674992.69219971113.8344497763.77850723101.14427948109.72969818138.2533721997.1741867117.2901573292.1441116335.6369667173.8331069968.8332748417.60875511183.45869446184.3656463672.6071014486.53739166387.4357299825.80166626415113872338258OpenBenchmarking.org

Apache Spark TPC-H

This is a benchmark of Apache Spark using TPC-H data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration using spark-submit. The test makes use of https://github.com/ssavvides/tpch-spark/ for facilitating the TPC-H benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Queriesabc0.49070.98141.47211.96282.45352.180706172.180817822.15660714MIN: 1.08 / MAX: 8.61MIN: 1.09 / MAX: 9.1MIN: 1.08 / MAX: 8.51

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All Queriesabc4812162014.0413.7714.27MIN: 3.68 / MAX: 63.06MIN: 3.79 / MAX: 63.72MIN: 3.87 / MAX: 64.09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Geometric Mean Of All Queriesabc2040608010076.6575.1075.88MIN: 17.71 / MAX: 393.61MIN: 17.12 / MAX: 383.93MIN: 17.29 / MAX: 387.44

ScyllaDB

This is a benchmark of ScyllaDB and is making use of Apache Cassandra's cassandra-stress for conducting the benchmark. ScyllaDB is an open-source distributed NoSQL data store that is compatible with Apache Cassandra while focusing on higher throughput and lower latency. ScyllaDB uses a sharded design on each node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: Writesabc9K18K27K36K45K409314086941511

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: Mixed 1:1abc8K16K24K32K40K386973785338723

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: Mixed 1:3abc8K16K24K32K40K390873922938258