sdfa

AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.10 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 2312122-PTS-SDFA911983
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
December 11 2023
  22 Hours, 44 Minutes
b
December 12 2023
  7 Hours, 14 Minutes
c
December 12 2023
  21 Hours, 52 Minutes
d
December 12 2023
  21 Hours, 47 Minutes
Invert Hiding All Results Option
  18 Hours, 24 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

b

c

d

Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160

sdfaOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS)AMD Starship/Matisse128GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioDELL P2415QIntel I211 + Intel Wi-Fi 6 AX200Ubuntu 23.106.5.0-13-generic (x86_64)GNOME Shell 45.0X Server + Wayland4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54)GCC 13.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionSdfa BenchmarksSystem Logs- Transparent Huge Pages: madvise- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a- OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)- Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

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 - Q22acbd3691215SE +/- 0.26, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 310.6710.6410.5310.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q21bcda306090120150SE +/- 0.77, N = 3SE +/- 0.96, N = 3SE +/- 0.28, N = 3131.46131.42131.01130.87

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q20cabd714212835SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 330.7930.7130.5430.52

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q19bdca612182430SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 325.0825.0324.8924.72

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q18dacb1428425670SE +/- 0.54, N = 3SE +/- 0.41, N = 3SE +/- 0.13, N = 362.7362.5162.3061.96

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q17adcb1224364860SE +/- 0.08, N = 3SE +/- 0.55, N = 3SE +/- 0.19, N = 355.6155.4255.3355.28

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q16dcab3691215SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 310.9110.8210.5910.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q15adcb612182430SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 323.0523.0022.9522.89

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q14acdb612182430SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 325.4925.4625.4225.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q13dcab48121620SE +/- 0.76, N = 3SE +/- 0.87, N = 3SE +/- 0.04, N = 313.6813.1412.3412.13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q12cabd714212835SE +/- 0.47, N = 3SE +/- 0.31, N = 3SE +/- 0.21, N = 330.8930.4330.4130.04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q11adcb3691215SE +/- 0.17117283, N = 3SE +/- 0.14619367, N = 3SE +/- 0.09627546, N = 39.062390659.017689398.752606398.69320774

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q10cbda816243240SE +/- 0.34, N = 3SE +/- 0.22, N = 3SE +/- 0.66, N = 336.8236.2735.9335.93

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q09cdab1122334455SE +/- 0.54, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 347.1147.0046.9046.32

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q08dabc918273645SE +/- 0.24, N = 3SE +/- 0.55, N = 3SE +/- 0.08, N = 338.3838.3637.9737.81

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q07acdb816243240SE +/- 0.46, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 335.6335.4635.4035.34

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q06dacb510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 320.3820.3820.3420.30

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q05bacd1020304050SE +/- 0.81, N = 3SE +/- 1.29, N = 3SE +/- 0.23, N = 343.2541.1739.7038.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q04adbc714212835SE +/- 0.26, N = 3SE +/- 0.40, N = 3SE +/- 0.12, N = 330.5830.5630.2730.22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q03cabd918273645SE +/- 0.13, N = 3SE +/- 0.49, N = 3SE +/- 0.42, N = 337.0636.6136.0335.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q02cabd3691215SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 310.5610.4810.4510.44

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q01dacb612182430SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 326.1226.0226.0025.99

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Geometric Mean Of All Queriesdcab714212835SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.09, N = 328.1228.1127.9827.79MIN: 8.73 / MAX: 132.42MIN: 8.58 / MAX: 132.82MIN: 8.84 / MAX: 131.32MIN: 8.69 / MAX: 131.46
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q01dacb612182430SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 326.1226.0226.0025.99
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q02cabd3691215SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.12, N = 310.5610.4810.4510.44
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q03cabd918273645SE +/- 0.13, N = 3SE +/- 0.49, N = 3SE +/- 0.42, N = 337.0636.6136.0335.99
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q04adbc714212835SE +/- 0.26, N = 3SE +/- 0.40, N = 3SE +/- 0.12, N = 330.5830.5630.2730.22
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q05bacd1020304050SE +/- 0.81, N = 3SE +/- 1.29, N = 3SE +/- 0.23, N = 343.2541.1739.7038.99
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q06dacb510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 320.3820.3820.3420.30
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q07acdb816243240SE +/- 0.46, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 335.6335.4635.4035.34
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q08dabc918273645SE +/- 0.24, N = 3SE +/- 0.55, N = 3SE +/- 0.08, N = 338.3838.3637.9737.81
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q09cdab1122334455SE +/- 0.54, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 347.1147.0046.9046.32
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q10cbda816243240SE +/- 0.34, N = 3SE +/- 0.22, N = 3SE +/- 0.66, N = 336.8236.2735.9335.93
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q11adcb3691215SE +/- 0.17117283, N = 3SE +/- 0.14619367, N = 3SE +/- 0.09627546, N = 39.062390659.017689398.752606398.69320774
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q12cabd714212835SE +/- 0.47, N = 3SE +/- 0.31, N = 3SE +/- 0.21, N = 330.8930.4330.4130.04
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q13dcab48121620SE +/- 0.76, N = 3SE +/- 0.87, N = 3SE +/- 0.04, N = 313.6813.1412.3412.13
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q14acdb612182430SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 325.4925.4625.4225.40
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q15adcb612182430SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 323.0523.0022.9522.89
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q16dcab3691215SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 310.9110.8210.5910.53
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q17adcb1224364860SE +/- 0.08, N = 3SE +/- 0.55, N = 3SE +/- 0.19, N = 355.6155.4255.3355.28
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q18dacb1428425670SE +/- 0.54, N = 3SE +/- 0.41, N = 3SE +/- 0.13, N = 362.7362.5162.3061.96
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q19bdca612182430SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 325.0825.0324.8924.72
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q20cabd714212835SE +/- 0.24, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 330.7930.7130.5430.52
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q21bcda306090120150SE +/- 0.77, N = 3SE +/- 0.96, N = 3SE +/- 0.28, N = 3131.46131.42131.01130.87
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 50 - Q22acbd3691215SE +/- 0.26, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 310.6710.6410.5310.27

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q22cdab0.83241.66482.49723.32964.162SE +/- 0.18733559, N = 3SE +/- 0.01543789, N = 3SE +/- 0.10541256, N = 33.699661583.596826073.535862133.40110779

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21acdb714212835SE +/- 0.25, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 329.3129.0328.9128.80

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20cbad246810SE +/- 0.01360476, N = 3SE +/- 0.06394497, N = 3SE +/- 0.08793082, N = 38.912171368.876638418.841609648.82452583

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19dacb246810SE +/- 0.02955483, N = 3SE +/- 0.61100502, N = 3SE +/- 0.63365910, N = 38.027953477.216275386.543281556.04250240

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18cdba48121620SE +/- 0.79, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 316.1114.9114.8814.86

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17abcd3691215SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 312.4512.4412.4212.40

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16dacb0.97791.95582.93373.91164.8895SE +/- 0.00250658, N = 3SE +/- 0.04048184, N = 3SE +/- 0.08541494, N = 34.346012604.320506264.175729754.15591764

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15dacb1.31752.6353.95255.276.5875SE +/- 0.04663640, N = 3SE +/- 0.03384145, N = 3SE +/- 0.03487590, N = 35.855655995.837094315.810214365.68089533

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14cbad1.31892.63783.95675.27566.5945SE +/- 0.02997105, N = 3SE +/- 0.02725146, N = 3SE +/- 0.04489420, N = 35.861774135.828408725.796152755.73522472

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13dacb1.0382.0763.1144.1525.19SE +/- 0.25379241, N = 3SE +/- 0.30907989, N = 3SE +/- 0.05603992, N = 34.613405864.457083074.097770064.03698015

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12cbda246810SE +/- 0.01728126, N = 3SE +/- 0.05148904, N = 3SE +/- 0.04371011, N = 38.171160388.108592998.094197758.03465001

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11adcb1.02362.04723.07084.09445.118SE +/- 0.03938644, N = 3SE +/- 0.00931035, N = 3SE +/- 0.02158043, N = 34.549316254.480574604.389634294.26761341

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10cdab3691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 310.4210.3610.2710.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09dacb48121620SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 314.9214.9014.8214.18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08acdb3691215SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 310.9910.8510.8210.67

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07dacb3691215SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 310.7510.6310.6210.53

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06badc1.03992.07983.11974.15965.1995SE +/- 0.04431026, N = 3SE +/- 0.03080177, N = 3SE +/- 0.01079337, N = 34.621629244.401313624.367109624.30036068

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05bcda3691215SE +/- 0.33, N = 3SE +/- 0.18, N = 3SE +/- 0.23, N = 312.9212.6612.6612.48

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04bacd246810SE +/- 0.24804165, N = 3SE +/- 0.08517991, N = 3SE +/- 0.07436974, N = 38.708090788.636829708.504576688.33958340

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03bcad3691215SE +/- 0.27, N = 3SE +/- 0.28, N = 3SE +/- 0.00, N = 310.3210.2610.2410.15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02cbad1.1092.2183.3274.4365.545SE +/- 0.06191683, N = 3SE +/- 0.02777661, N = 3SE +/- 0.02874460, N = 34.928970814.884950164.850995224.79437430

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01dbac246810SE +/- 0.05844458, N = 3SE +/- 0.07219277, N = 3SE +/- 0.10886176, N = 38.732316978.701518068.678337428.66681448

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All Queriesdacb246810SE +/- 0.01945474, N = 3SE +/- 0.00516651, N = 3SE +/- 0.05385571, N = 38.245672738.170906678.111425757.89399455MIN: 3.57 / MAX: 29.28MIN: 3.42 / MAX: 29.75MIN: 3.43 / MAX: 29.17MIN: 3.4 / MAX: 28.8
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01dbac246810SE +/- 0.05844458, N = 3SE +/- 0.07219277, N = 3SE +/- 0.10886176, N = 38.732316978.701518068.678337428.66681448
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02cbad1.1092.2183.3274.4365.545SE +/- 0.06191683, N = 3SE +/- 0.02777661, N = 3SE +/- 0.02874460, N = 34.928970814.884950164.850995224.79437430
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03bcad3691215SE +/- 0.27, N = 3SE +/- 0.28, N = 3SE +/- 0.00, N = 310.3210.2610.2410.15
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04bacd246810SE +/- 0.24804165, N = 3SE +/- 0.08517991, N = 3SE +/- 0.07436974, N = 38.708090788.636829708.504576688.33958340
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05bcda3691215SE +/- 0.33, N = 3SE +/- 0.18, N = 3SE +/- 0.23, N = 312.9212.6612.6612.48
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06badc1.03992.07983.11974.15965.1995SE +/- 0.04431026, N = 3SE +/- 0.03080177, N = 3SE +/- 0.01079337, N = 34.621629244.401313624.367109624.30036068
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07dacb3691215SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 310.7510.6310.6210.53
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08acdb3691215SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 310.9910.8510.8210.67
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09dacb48121620SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 314.9214.9014.8214.18
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10cdab3691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 310.4210.3610.2710.18
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11adcb1.02362.04723.07084.09445.118SE +/- 0.03938644, N = 3SE +/- 0.00931035, N = 3SE +/- 0.02158043, N = 34.549316254.480574604.389634294.26761341
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12cbda246810SE +/- 0.01728126, N = 3SE +/- 0.05148904, N = 3SE +/- 0.04371011, N = 38.171160388.108592998.094197758.03465001
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13dacb1.0382.0763.1144.1525.19SE +/- 0.25379241, N = 3SE +/- 0.30907989, N = 3SE +/- 0.05603992, N = 34.613405864.457083074.097770064.03698015
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14cbad1.31892.63783.95675.27566.5945SE +/- 0.02997105, N = 3SE +/- 0.02725146, N = 3SE +/- 0.04489420, N = 35.861774135.828408725.796152755.73522472
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15dacb1.31752.6353.95255.276.5875SE +/- 0.04663640, N = 3SE +/- 0.03384145, N = 3SE +/- 0.03487590, N = 35.855655995.837094315.810214365.68089533
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16dacb0.97791.95582.93373.91164.8895SE +/- 0.00250658, N = 3SE +/- 0.04048184, N = 3SE +/- 0.08541494, N = 34.346012604.320506264.175729754.15591764
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17abcd3691215SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 312.4512.4412.4212.40
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18cdba48121620SE +/- 0.79, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 316.1114.9114.8814.86
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19dacb246810SE +/- 0.02955483, N = 3SE +/- 0.61100502, N = 3SE +/- 0.63365910, N = 38.027953477.216275386.543281556.04250240
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20cbad246810SE +/- 0.01360476, N = 3SE +/- 0.06394497, N = 3SE +/- 0.08793082, N = 38.912171368.876638418.841609648.82452583
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21acdb714212835SE +/- 0.25, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 329.3129.0328.9128.80
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q22cdab0.83241.66482.49723.32964.162SE +/- 0.18733559, N = 3SE +/- 0.01543789, N = 3SE +/- 0.10541256, N = 33.699661583.596826073.535862133.40110779

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streamabdc20406080100SE +/- 0.60, N = 15SE +/- 0.61, N = 3SE +/- 0.42, N = 388.4786.1585.1684.46

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Synchronous Single-Streamabdc3691215SE +/- 0.07, N = 15SE +/- 0.08, N = 3SE +/- 0.06, N = 311.3111.6111.7411.84

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamdcba48121620SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 315.6015.5915.5215.45

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Synchronous Single-Streamdcba1428425670SE +/- 0.57, N = 3SE +/- 0.51, N = 3SE +/- 0.66, N = 364.0864.1264.4064.71

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamdacb140280420560700SE +/- 1.27, N = 3SE +/- 0.29, N = 3SE +/- 1.51, N = 3650.69649.93649.76648.52

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamcdab1122334455SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 349.0849.1749.2249.33

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 - Q22adcb0.24410.48820.73230.97641.2205SE +/- 0.00972834, N = 4SE +/- 0.01300436, N = 3SE +/- 0.00495537, N = 31.085022841.061138471.058803240.98886323

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21bcda246810SE +/- 0.11898636, N = 3SE +/- 0.17170189, N = 3SE +/- 0.08062589, N = 47.703692447.461975897.407735517.39505470

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20acdb0.621.241.862.483.1SE +/- 0.09583966, N = 4SE +/- 0.13759046, N = 3SE +/- 0.14206756, N = 32.755551762.752848232.747976622.58762598

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19cbad0.27190.54380.81571.08761.3595SE +/- 0.07878807, N = 3SE +/- 0.02636608, N = 4SE +/- 0.01874751, N = 31.208379111.173945901.028470380.99435820

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18bacd0.91031.82062.73093.64124.5515SE +/- 0.10303949, N = 4SE +/- 0.10019808, N = 3SE +/- 0.13038086, N = 34.045895104.003722493.993240673.86921136

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17bacd0.61261.22521.83782.45043.063SE +/- 0.02035298, N = 4SE +/- 0.01865956, N = 3SE +/- 0.03392729, N = 32.722641942.661922222.585270722.57773050

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16dcba0.34630.69261.03891.38521.7315SE +/- 0.04799671, N = 3SE +/- 0.05940937, N = 3SE +/- 0.01144007, N = 41.539288201.494487601.439398531.42731291

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15dbca0.51241.02481.53722.04962.562SE +/- 0.09001964, N = 3SE +/- 0.20579960, N = 3SE +/- 0.04340326, N = 42.277157312.174607752.143637741.99491587

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14cadb0.41360.82721.24081.65442.068SE +/- 0.01014717, N = 3SE +/- 0.03540160, N = 4SE +/- 0.02463739, N = 31.838365991.832315361.832191391.78157055

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13bacd0.32820.65640.98461.31281.641SE +/- 0.03676867, N = 4SE +/- 0.04981792, N = 3SE +/- 0.02733553, N = 31.458663231.400586641.399916811.39225551

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12adcb0.48370.96741.45111.93482.4185SE +/- 0.15031140, N = 4SE +/- 0.02411619, N = 3SE +/- 0.04470734, N = 32.149872692.069544162.040395382.02941990

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11badc0.3070.6140.9211.2281.535SE +/- 0.07929998, N = 4SE +/- 0.10958276, N = 3SE +/- 0.15013623, N = 31.364477991.308498561.291904691.28974267

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10dbca0.7071.4142.1212.8283.535SE +/- 0.04198555, N = 3SE +/- 0.03625533, N = 3SE +/- 0.04789727, N = 43.142105903.079596283.029143572.83789939

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09dbac1.02572.05143.07714.10285.1285SE +/- 0.17668063, N = 3SE +/- 0.13363421, N = 4SE +/- 0.11520840, N = 34.558725044.515100484.400907404.32967218

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08cbad0.53051.0611.59152.1222.6525SE +/- 0.06735723, N = 3SE +/- 0.02917526, N = 4SE +/- 0.07315965, N = 32.357799212.327807662.290912692.22529737

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07bdca0.74331.48662.22992.97323.7165SE +/- 0.03596564, N = 3SE +/- 0.13350733, N = 3SE +/- 0.07379513, N = 43.303481343.253300433.184302173.16296500

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06adbc0.17070.34140.51210.68280.8535SE +/- 0.03196645, N = 4SE +/- 0.01813313, N = 3SE +/- 0.00867146, N = 30.758707520.742623980.732237640.71082556

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05cabd0.79291.58582.37873.17163.9645SE +/- 0.08593638, N = 3SE +/- 0.06297205, N = 4SE +/- 0.06648494, N = 33.524186533.461568063.377686503.30995369

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04bacd0.69581.39162.08742.78323.479SE +/- 0.02567628, N = 4SE +/- 0.05472939, N = 3SE +/- 0.09994253, N = 33.092572212.960263912.944285952.85856040

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03cbad0.75281.50562.25843.01123.764SE +/- 0.05826206, N = 3SE +/- 0.03420168, N = 4SE +/- 0.04118145, N = 33.345568973.239124303.158902593.15447322

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02cdba0.51271.02541.53812.05082.5635SE +/- 0.08231744, N = 3SE +/- 0.07468701, N = 3SE +/- 0.05229177, N = 42.278467662.275128682.207261322.19916511

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01dcba1.09042.18083.27124.36165.452SE +/- 0.08250324, N = 3SE +/- 0.05428360, N = 3SE +/- 0.06902799, N = 44.846229874.840341094.730920794.69511843

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Queriesbcda0.50521.01041.51562.02082.526SE +/- 0.00573499, N = 3SE +/- 0.02256519, N = 3SE +/- 0.02461970, N = 42.245314152.237059112.223564462.20328734MIN: 0.99 / MAX: 7.7MIN: 1.05 / MAX: 7.66MIN: 0.97 / MAX: 7.7MIN: 0.99 / MAX: 7.56
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01dcba1.09042.18083.27124.36165.452SE +/- 0.08250324, N = 3SE +/- 0.05428360, N = 3SE +/- 0.06902799, N = 44.846229874.840341094.730920794.69511843
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02cdba0.51271.02541.53812.05082.5635SE +/- 0.08231744, N = 3SE +/- 0.07468701, N = 3SE +/- 0.05229177, N = 42.278467662.275128682.207261322.19916511
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03cbad0.75281.50562.25843.01123.764SE +/- 0.05826206, N = 3SE +/- 0.03420168, N = 4SE +/- 0.04118145, N = 33.345568973.239124303.158902593.15447322
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04bacd0.69581.39162.08742.78323.479SE +/- 0.02567628, N = 4SE +/- 0.05472939, N = 3SE +/- 0.09994253, N = 33.092572212.960263912.944285952.85856040
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05cabd0.79291.58582.37873.17163.9645SE +/- 0.08593638, N = 3SE +/- 0.06297205, N = 4SE +/- 0.06648494, N = 33.524186533.461568063.377686503.30995369
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06adbc0.17070.34140.51210.68280.8535SE +/- 0.03196645, N = 4SE +/- 0.01813313, N = 3SE +/- 0.00867146, N = 30.758707520.742623980.732237640.71082556
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07bdca0.74331.48662.22992.97323.7165SE +/- 0.03596564, N = 3SE +/- 0.13350733, N = 3SE +/- 0.07379513, N = 43.303481343.253300433.184302173.16296500
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08cbad0.53051.0611.59152.1222.6525SE +/- 0.06735723, N = 3SE +/- 0.02917526, N = 4SE +/- 0.07315965, N = 32.357799212.327807662.290912692.22529737
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09dbac1.02572.05143.07714.10285.1285SE +/- 0.17668063, N = 3SE +/- 0.13363421, N = 4SE +/- 0.11520840, N = 34.558725044.515100484.400907404.32967218
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10dbca0.7071.4142.1212.8283.535SE +/- 0.04198555, N = 3SE +/- 0.03625533, N = 3SE +/- 0.04789727, N = 43.142105903.079596283.029143572.83789939
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11badc0.3070.6140.9211.2281.535SE +/- 0.07929998, N = 4SE +/- 0.10958276, N = 3SE +/- 0.15013623, N = 31.364477991.308498561.291904691.28974267
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12adcb0.48370.96741.45111.93482.4185SE +/- 0.15031140, N = 4SE +/- 0.02411619, N = 3SE +/- 0.04470734, N = 32.149872692.069544162.040395382.02941990
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13bacd0.32820.65640.98461.31281.641SE +/- 0.03676867, N = 4SE +/- 0.04981792, N = 3SE +/- 0.02733553, N = 31.458663231.400586641.399916811.39225551
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14cadb0.41360.82721.24081.65442.068SE +/- 0.01014717, N = 3SE +/- 0.03540160, N = 4SE +/- 0.02463739, N = 31.838365991.832315361.832191391.78157055
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15dbca0.51241.02481.53722.04962.562SE +/- 0.09001964, N = 3SE +/- 0.20579960, N = 3SE +/- 0.04340326, N = 42.277157312.174607752.143637741.99491587
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16dcba0.34630.69261.03891.38521.7315SE +/- 0.04799671, N = 3SE +/- 0.05940937, N = 3SE +/- 0.01144007, N = 41.539288201.494487601.439398531.42731291
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17bacd0.61261.22521.83782.45043.063SE +/- 0.02035298, N = 4SE +/- 0.01865956, N = 3SE +/- 0.03392729, N = 32.722641942.661922222.585270722.57773050
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18bacd0.91031.82062.73093.64124.5515SE +/- 0.10303949, N = 4SE +/- 0.10019808, N = 3SE +/- 0.13038086, N = 34.045895104.003722493.993240673.86921136
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19cbad0.27190.54380.81571.08761.3595SE +/- 0.07878807, N = 3SE +/- 0.02636608, N = 4SE +/- 0.01874751, N = 31.208379111.173945901.028470380.99435820
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20acdb0.621.241.862.483.1SE +/- 0.09583966, N = 4SE +/- 0.13759046, N = 3SE +/- 0.14206756, N = 32.755551762.752848232.747976622.58762598
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21bcda246810SE +/- 0.11898636, N = 3SE +/- 0.17170189, N = 3SE +/- 0.08062589, N = 47.703692447.461975897.407735517.39505470
OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q22adcb0.24410.48820.73230.97641.2205SE +/- 0.00972834, N = 4SE +/- 0.01300436, N = 3SE +/- 0.00495537, N = 31.085022841.061138471.058803240.98886323

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamabcd246810SE +/- 0.0410, N = 3SE +/- 0.0865, N = 4SE +/- 0.0842, N = 57.70667.61927.56897.4402

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Synchronous Single-Streamabcd306090120150SE +/- 0.69, N = 3SE +/- 1.51, N = 4SE +/- 1.48, N = 5129.70131.17132.10134.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamcadb2004006008001000SE +/- 8.13, N = 6SE +/- 12.88, N = 3SE +/- 7.99, N = 3841.34836.92820.12806.39

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamcadb918273645SE +/- 0.38, N = 6SE +/- 0.52, N = 3SE +/- 0.36, N = 337.7837.9338.7239.38

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamacdb816243240SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 332.6032.3432.3132.16

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamacdb2004006008001000SE +/- 3.44, N = 3SE +/- 1.16, N = 3SE +/- 1.17, N = 3980.45988.49989.06993.60

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamadcb1428425670SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 363.4863.3063.1362.81

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamadcb110220330440550SE +/- 0.37, N = 3SE +/- 0.62, N = 3SE +/- 0.45, N = 3503.41504.84506.13508.59

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamcadb1632486480SE +/- 0.25, N = 3SE +/- 0.30, N = 3SE +/- 0.18, N = 372.0371.9471.9269.42

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Streamcadb48121620SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 313.8813.9013.9014.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamdabc2004006008001000SE +/- 2.60, N = 3SE +/- 2.31, N = 3SE +/- 6.31, N = 3845.44841.43837.46837.14

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamdacb918273645SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.25, N = 337.4537.7437.9437.95

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamdacb1632486480SE +/- 0.16, N = 3SE +/- 0.43, N = 3SE +/- 0.72, N = 371.4271.0470.9069.88

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Streamdacb48121620SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 314.0014.0814.1014.31

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamcdab160320480640800SE +/- 4.42, N = 3SE +/- 2.01, N = 3SE +/- 6.44, N = 3737.98737.85736.77726.25

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamcdab1020304050SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.30, N = 343.0543.0643.1943.84

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamcadb1326395265SE +/- 0.30, N = 3SE +/- 0.38, N = 3SE +/- 0.11, N = 358.8558.5558.5055.56

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Streamcadb48121620SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 316.9917.0717.0917.99

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamdabc20406080100SE +/- 0.28, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 395.4595.0294.8894.68

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamdabc70140210280350SE +/- 1.00, N = 3SE +/- 0.53, N = 3SE +/- 0.44, N = 3335.10336.19337.08337.78

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamadcb48121620SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 317.6017.5817.4816.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Streamadcb1326395265SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 356.7956.8657.1859.01

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamadcb3691215SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 311.5611.4211.3611.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Streamadcb20406080100SE +/- 0.58, N = 3SE +/- 0.19, N = 3SE +/- 0.32, N = 386.3887.4787.9388.17

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamdbac3691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 311.1511.1310.9610.96

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Synchronous Single-Streamdbac20406080100SE +/- 0.36, N = 3SE +/- 0.36, N = 3SE +/- 0.17, N = 389.5989.8091.1491.16

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamcadb4080120160200SE +/- 1.36, N = 3SE +/- 0.94, N = 3SE +/- 1.02, N = 3160.28158.15158.11154.30

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamcadb50100150200250SE +/- 1.60, N = 3SE +/- 1.28, N = 3SE +/- 1.27, N = 3199.22201.91201.94206.96

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streambdac306090120150SE +/- 0.06, N = 3SE +/- 0.45, N = 3SE +/- 0.12, N = 3150.23148.28147.96147.49

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streambdac50100150200250SE +/- 0.09, N = 3SE +/- 0.62, N = 3SE +/- 0.14, N = 3212.76215.29215.83216.39

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamdcab3691215SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 312.5512.5212.4912.11

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamdcab6001200180024003000SE +/- 15.60, N = 3SE +/- 12.01, N = 3SE +/- 14.52, N = 32543.112548.382555.422635.57

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamdacb1632486480SE +/- 0.19, N = 3SE +/- 0.35, N = 3SE +/- 0.24, N = 372.4672.4271.8170.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamdacb100200300400500SE +/- 1.15, N = 3SE +/- 2.10, N = 3SE +/- 1.47, N = 3441.39441.44445.16450.81

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamadcb3691215SE +/- 0.0493, N = 3SE +/- 0.0758, N = 3SE +/- 0.0132, N = 39.64629.60849.42159.3424

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Synchronous Single-Streamadcb20406080100SE +/- 0.53, N = 3SE +/- 0.81, N = 3SE +/- 0.15, N = 3103.56103.98106.03106.93

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamdabc3691215SE +/- 0.0916, N = 3SE +/- 0.0142, N = 3SE +/- 0.0294, N = 39.58029.38539.37709.3277

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Streamdabc20406080100SE +/- 1.00, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 3104.29106.44106.54107.10

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streambadc1632486480SE +/- 0.17, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 371.2771.1771.0570.74

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streambadc100200300400500SE +/- 1.01, N = 3SE +/- 1.54, N = 3SE +/- 0.60, N = 3448.76449.31450.06452.04

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamcbda0.380.761.141.521.9SE +/- 0.0240, N = 3SE +/- 0.0037, N = 3SE +/- 0.0051, N = 31.68871.66561.60901.5897

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Synchronous Single-Streamcbda140280420560700SE +/- 8.33, N = 3SE +/- 1.41, N = 3SE +/- 2.01, N = 3591.26599.19620.24627.75

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.

Scale Factor: 100

a: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device

b: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device

c: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device

d: The test quit with a non-zero exit status. E: ./spark-tpch: line 6: echo: write error: No space left on device

117 Results Shown

Apache Spark TPC-H:
  50 - Q22
  50 - Q21
  50 - Q20
  50 - Q19
  50 - Q18
  50 - Q17
  50 - Q16
  50 - Q15
  50 - Q14
  50 - Q13
  50 - Q12
  50 - Q11
  50 - Q10
  50 - Q09
  50 - Q08
  50 - Q07
  50 - Q06
  50 - Q05
  50 - Q04
  50 - Q03
  50 - Q02
  50 - Q01
  50 - Geometric Mean Of All Queries
  10 - Q22
  10 - Q21
  10 - Q20
  10 - Q19
  10 - Q18
  10 - Q17
  10 - Q16
  10 - Q15
  10 - Q14
  10 - Q13
  10 - Q12
  10 - Q11
  10 - Q10
  10 - Q09
  10 - Q08
  10 - Q07
  10 - Q06
  10 - Q05
  10 - Q04
  10 - Q03
  10 - Q02
  10 - Q01
  10 - Geometric Mean Of All Queries
Neural Magic DeepSparse:
  BERT-Large, NLP Question Answering - Synchronous Single-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Apache Spark TPC-H:
  1 - Q22
  1 - Q21
  1 - Q20
  1 - Q19
  1 - Q18
  1 - Q17
  1 - Q16
  1 - Q15
  1 - Q14
  1 - Q13
  1 - Q12
  1 - Q11
  1 - Q10
  1 - Q09
  1 - Q08
  1 - Q07
  1 - Q06
  1 - Q05
  1 - Q04
  1 - Q03
  1 - Q02
  1 - Q01
  1 - Geometric Mean Of All Queries
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Baseline - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Baseline - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  ResNet-50, Sparse INT8 - Synchronous Single-Stream:
    ms/batch
    items/sec

a

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 11 December 2023 22:18 by user pts.

b

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 12 December 2023 01:08 by user pts.

c

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 12 December 2023 02:31 by user pts.

d

Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

OS: Ubuntu 23.10, Kernel: 6.5.0-13-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.54), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160

Kernel Notes: Transparent Huge Pages: madvise
Processor Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a
Java Notes: OpenJDK Runtime Environment (build 11.0.21+9-post-Ubuntu-0ubuntu123.10)
Python Notes: Python 3.11.6
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 12 December 2023 10:46 by user pts.