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.Q50 - Q2250 - Q2150 - Q2050 - Q1950 - Q1850 - Q1750 - Q1650 - Q1550 - Q1450 - Q1350 - Q1250 - Q1150 - Q1050 - Q0950 - Q0850 - Q0750 - Q0650 - Q0550 - Q0450 - Q0350 - Q0250 - Q0110 - Q2210 - Q2110 - Q2010 - Q1910 - Q1810 - Q1710 - Q1610 - Q1510 - Q1410 - Q1310 - Q1210 - Q1110 - Q1010 - Q0910 - Q0810 - Q0710 - Q0610 - Q0510 - Q0410 - Q0310 - Q0210 - Q011 - Q221 - Q211 - Q201 - Q191 - Q181 - Q171 - Q161 - Q151 - Q141 - Q131 - Q121 - Q111 - Q101 - Q091 - Q081 - Q071 - Q061 - Q051 - Q041 - Q031 - Q021 - Q01

dgaspark-tpch: 10 - Geometric Mean Of All Queriesscylladb: Mixed 1:3scylladb: Mixed 1:1spark-tpch: 50 - Geometric Mean Of All Queriesscylladb: Writesspark-tpch: 1 - Geometric Mean Of All Queriesspark-tpch: 50 - Q22spark-tpch: 50 - Q21spark-tpch: 50 - Q20spark-tpch: 50 - Q19spark-tpch: 50 - Q18spark-tpch: 50 - Q17spark-tpch: 50 - Q16spark-tpch: 50 - Q15spark-tpch: 50 - Q14spark-tpch: 50 - Q13spark-tpch: 50 - Q12spark-tpch: 50 - Q11spark-tpch: 50 - Q10spark-tpch: 50 - Q09spark-tpch: 50 - Q08spark-tpch: 50 - Q07spark-tpch: 50 - Q06spark-tpch: 50 - Q05spark-tpch: 50 - Q04spark-tpch: 50 - Q03spark-tpch: 50 - Q02spark-tpch: 50 - Q01spark-tpch: 10 - Q22spark-tpch: 10 - Q21spark-tpch: 10 - Q20spark-tpch: 10 - Q19spark-tpch: 10 - Q18spark-tpch: 10 - Q17spark-tpch: 10 - Q16spark-tpch: 10 - Q15spark-tpch: 10 - Q14spark-tpch: 10 - Q13spark-tpch: 10 - Q12spark-tpch: 10 - Q11spark-tpch: 10 - Q10spark-tpch: 10 - Q09spark-tpch: 10 - Q08spark-tpch: 10 - Q07spark-tpch: 10 - Q06spark-tpch: 10 - Q05spark-tpch: 10 - Q04spark-tpch: 10 - Q03spark-tpch: 10 - Q02spark-tpch: 10 - Q01spark-tpch: 1 - Q22spark-tpch: 1 - Q21spark-tpch: 1 - Q20spark-tpch: 1 - Q19spark-tpch: 1 - Q18spark-tpch: 1 - Q17spark-tpch: 1 - Q16spark-tpch: 1 - Q15spark-tpch: 1 - Q14spark-tpch: 1 - Q13spark-tpch: 1 - Q12spark-tpch: 1 - Q11spark-tpch: 1 - Q10spark-tpch: 1 - Q09spark-tpch: 1 - Q08spark-tpch: 1 - Q07spark-tpch: 1 - Q06spark-tpch: 1 - Q05spark-tpch: 1 - Q04spark-tpch: 1 - Q03spark-tpch: 1 - Q02spark-tpch: 1 - Q01abc14.0384898390873869776.64583184409312.1807061727.17794418393.6142578187.5092239472.55708313190.47845459182.863113417.7133407668.7273712273.2916107235.8111343492.1269836417.7690792198.04597473136.50250244111.74044037103.1365737965.7549057115.0673065294.13659668104.6401138319.5361499877.827575685.0196065963.0599098214.7618808711.9121828133.0457801831.123931884.7075157211.3741617212.15130528.7935590714.550239563.6781868917.2729053526.4525718720.2396640817.0664730110.3620120.4320373516.2612686218.249813085.6092109716.185924531.283159618.61152842.254778151.495845563.925642493.277454141.147567631.54193331.588815691.464547992.037358051.077466252.817228084.029423242.437819242.74143911.201076632.861648082.49393943.276102782.442423824.353118913.76990135392293785375.1033555408692.1808178226.49509239383.9320983984.9623794671.29585266188.02607727177.8236694317.5635776566.8524551471.9592361536.1166191190.0522689817.1227664995.68325806134.83877563109.07578278100.5065536563.82765579115.4232788190.640625103.6725540219.2570018875.695594794.8362531763.7165527314.7662706412.3252887733.010589630.440727234.5572476411.777110112.04290397.3021011414.600934033.7889990816.1685867325.7549381319.8000717216.8429279310.4360742620.1251926416.0149574317.995065695.9990334515.249186521.345264329.104104042.187259441.408951044.021189693.361462121.183397171.585024481.60209061.475726722.004390721.086595062.558968783.904681922.437848572.600705861.449706082.852707863.036400563.235719922.717262514.4218573614.26792537382583872375.87807945415112.1566071425.80166626387.4357299886.5373916672.60710144184.36564636183.4586944617.6087551168.8332748473.8331069935.6369667192.1441116317.2901573297.17418671138.25337219109.72969818101.1442794863.77850723113.8344497792.69219971102.8938674919.8313789474.923332214.8644580864.0908508314.9958906212.4438905733.8747062735.04477315.3294744511.7287168512.505456927.2521266914.565818793.8657374416.2311954530.3121585819.0598831216.8621597310.4777822520.2320938116.0120334618.759561545.4236297615.384394651.276114348.510312082.22368361.373515374.206056593.203422311.263191221.482332231.519887211.510092852.02407981.077379582.578029873.984516142.359636552.7230681.172515992.976404912.6146093.054151772.71282534.37020731OpenBenchmarking.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: 10 - Geometric Mean Of All Queriesabc4812162014.0413.7714.27MIN: 3.68 / MAX: 63.06MIN: 3.79 / MAX: 63.72MIN: 3.87 / MAX: 64.09

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: Mixed 1:3abc8K16K24K32K40K390873922938258

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

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: 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

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