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
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

Limit displaying results to tests within:

Java Tests 2 Tests
Python Tests 2 Tests
Server 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
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
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
December 06 2023
  17 Hours, 3 Minutes
b
December 06 2023
  16 Hours, 44 Minutes
c
December 06 2023
  16 Hours, 57 Minutes
Invert Hiding All Results Option
  16 Hours, 55 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):


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

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