7100 july

Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 KBL GT2 3GB on Ubuntu 20.10 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 2107307-IB-7100JULY994
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:

Creator Workloads 2 Tests
Database Test Suite 2 Tests
HPC - High Performance Computing 3 Tests
Java Tests 2 Tests
Machine Learning 3 Tests
Multi-Core 3 Tests
Renderers 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
Disable Color Branding
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
1
July 30 2021
  3 Hours, 7 Minutes
Gigabyte Intel HD 630 KBL GT2
July 30 2021
  3 Hours, 1 Minute
33
July 30 2021
  3 Hours, 3 Minutes
Invert Hiding All Results Option
  3 Hours, 4 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):

1

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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-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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Gigabyte Intel HD 630 KBL GT2

33

Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 KBL GT2 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.10, Kernel: 5.8.0-55-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

7100 julyProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution1Gigabyte Intel HD 630 KBL GT233Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads)Gigabyte B250M-DS3H-CF (F9 BIOS)Intel Xeon E3-1200 v6/7th + B2508GB250GB Western Digital WDS250G1B0A-Gigabyte Intel HD 630 KBL GT2 3GB (1100MHz)Realtek ALC887-VDDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.105.8.0-55-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.94.6 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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-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: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3Java Details- OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.10)Python Details- Python 3.8.6Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

1Gigabyte Intel HD 630 KBL GT233Result OverviewPhoronix Test Suite100%105%110%115%NatronRenaissanceApache CassandraC-BloscFacebook RocksDBNCNNMobile Neural NetworkYafaRayTNNUnvanquished

7100 julyncnn: Vulkan GPU - mnasnetnatron: Spaceshiprenaissance: Apache Spark Bayesncnn: Vulkan GPU-v2-v2 - mobilenet-v2renaissance: Apache Spark PageRankcassandra: Mixed 1:3ncnn: Vulkan GPU - yolov4-tinyrocksdb: Rand Fill Syncrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: Scala Dottyrocksdb: Rand Fillrenaissance: Akka Unbalanced Cobwebbed Treencnn: Vulkan GPU - mobilenetrocksdb: Read While Writingrocksdb: Rand Readrocksdb: Update Randtnn: CPU - MobileNet v2renaissance: Finagle HTTP Requestscassandra: Mixed 1:1ncnn: Vulkan GPU-v3-v3 - mobilenet-v3renaissance: Apache Spark ALScassandra: Writesrocksdb: Seq Fillmnn: resnet-v2-50ncnn: CPU - mobilenetncnn: Vulkan GPU - alexnetunvanquished: 1920 x 1080 - Highrocksdb: Read Rand Write Randblosc: blosclzncnn: Vulkan GPU - squeezenet_ssdrenaissance: ALS Movie Lensmnn: MobileNetV2_224ncnn: Vulkan GPU - shufflenet-v2mnn: squeezenetv1.1ncnn: CPU - yolov4-tinytnn: CPU - SqueezeNet v2unvanquished: 1920 x 1080 - Mediummnn: mobilenetV3mnn: SqueezeNetV1.0ncnn: Vulkan GPU - regnety_400mncnn: CPU - mnasnetncnn: CPU - squeezenet_ssdmnn: mobilenet-v1-1.0ncnn: CPU-v2-v2 - mobilenet-v2renaissance: Savina Reactors.IOmnn: inception-v3ncnn: CPU - resnet18ncnn: Vulkan GPU - resnet18renaissance: Rand Forestncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: CPU - blazefacetnn: CPU - DenseNetrenaissance: In-Memory Database Shootoutyafaray: Total Time For Sample Scenencnn: CPU - vgg16ncnn: CPU - googlenetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - vgg16ncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - shufflenet-v2ncnn: CPU - efficientnet-b0ncnn: CPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - googlenetcassandra: Readstnn: CPU - SqueezeNet v1.1ncnn: CPU - regnety_400munvanquished: 1920 x 1080 - Ultra1Gigabyte Intel HD 630 KBL GT2339.370.612063.69.696151.11481962.4110501511.21625.044885614319.826.4634486110864759170352377.852329.91531015.676800.21903354327853.96735.8925.1289.14597126507.329.729997.05.33415.395.84150.9279.706118.12.69210.21115.748.2546.027.0189.068160.064.63330.4823.91049.517.682.612.615833.9256006.3679.499110.9229.4751.37163.6958.424.796.5213.337.8924.2618100340.38313.7642.98.890.612161.58.735552.31557765.7711051453.51562.244168814144.225.7234825710792104173184379.7482382.21544915.436679.71892953867853.6436.3225.2390.14636596498.330.0210004.95.3815.315.89351.4480.437117.12.69210.28515.88.246.237.0189.068196.064.8730.4723.991050.917.652.62.615813.4326004.7678.271110.5829.4651.31163.4658.5224.776.5213.337.8924.2318084340.67913.7542.911.20.514308.29.286041.81588464.7110821524.21583.245590814563.325.8633891910586553168920387.1252373.31512515.386728.81924253469354.43935.7925.4890.24580756577.329.669886.25.39415.225.90150.9579.787117.72.71310.2715.858.2246.027.059.18181.064.5930.35241053.717.612.612.65819.5815986.2677.404110.7929.3851.45163.2958.3924.746.5113.357.924.2318104340.36113.7542.9OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mnasnet133Gigabyte Intel HD 630 KBL GT236912159.3711.208.89MIN: 8.98 / MAX: 9.6MIN: 10.63 / MAX: 12.54MIN: 8.21 / MAX: 9.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4Input: Spaceship133Gigabyte Intel HD 630 KBL GT20.1350.270.4050.540.6750.60.50.6

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark Bayes133Gigabyte Intel HD 630 KBL GT23K6K9K12K15K12063.614308.212161.5MIN: 9675.73MIN: 11602.35 / MAX: 14308.24MIN: 9618.9

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2133Gigabyte Intel HD 630 KBL GT236912159.699.288.73MIN: 8.75 / MAX: 10.2MIN: 8.03 / MAX: 9.55MIN: 8.01 / MAX: 8.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark PageRank133Gigabyte Intel HD 630 KBL GT2130026003900520065006151.16041.85552.3MIN: 5460.45 / MAX: 6839.2MIN: 5323.01 / MAX: 6753.9MIN: 5218.95 / MAX: 5807.51

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:3133Gigabyte Intel HD 630 KBL GT23K6K9K12K15K148191588415577

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: yolov4-tiny133Gigabyte Intel HD 630 KBL GT2153045607562.4164.7165.77MIN: 58.35 / MAX: 67.96MIN: 58.6 / MAX: 66.71MIN: 60.03 / MAX: 67.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill Sync133Gigabyte Intel HD 630 KBL GT220040060080010001050108211051. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Genetic Algorithm Using Jenetics + Futures133Gigabyte Intel HD 630 KBL GT2300600900120015001511.21524.21453.5MIN: 1488.4 / MAX: 1554.47MIN: 1475.59 / MAX: 1610.38MIN: 1413.02 / MAX: 1514.89

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty133Gigabyte Intel HD 630 KBL GT2300600900120015001625.01583.21562.2MIN: 959.62 / MAX: 2818.91MIN: 912.73 / MAX: 2949.81MIN: 905.62 / MAX: 2847.21

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Fill133Gigabyte Intel HD 630 KBL GT2100K200K300K400K500K4488564559084416881. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Akka Unbalanced Cobwebbed Tree133Gigabyte Intel HD 630 KBL GT23K6K9K12K15K14319.814563.314144.2MIN: 10877.92 / MAX: 14319.83MIN: 11095.26MIN: 11075.34

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: mobilenet133Gigabyte Intel HD 630 KBL GT261218243026.4625.8625.72MIN: 26.22 / MAX: 27.72MIN: 25.73 / MAX: 26.28MIN: 25.34 / MAX: 36.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read While Writing133Gigabyte Intel HD 630 KBL GT270K140K210K280K350K3448613389193482571. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read133Gigabyte Intel HD 630 KBL GT22M4M6M8M10M1086475910586553107921041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random133Gigabyte Intel HD 630 KBL GT240K80K120K160K200K1703521689201731841. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v2133Gigabyte Intel HD 630 KBL GT280160240320400377.85387.13379.75MIN: 377.11 / MAX: 378.86MIN: 381.44 / MAX: 390.05MIN: 378.88 / MAX: 380.921. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Finagle HTTP Requests133Gigabyte Intel HD 630 KBL GT250010001500200025002329.92373.32382.2MIN: 2027.03 / MAX: 2423.12MIN: 2039.53 / MAX: 2574.73MIN: 2062.75 / MAX: 2623.8

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Mixed 1:1133Gigabyte Intel HD 630 KBL GT23K6K9K12K15K153101512515449

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3133Gigabyte Intel HD 630 KBL GT24812162015.6715.3815.43MIN: 11.55 / MAX: 16.03MIN: 10.17 / MAX: 16MIN: 10.06 / MAX: 15.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Apache Spark ALS133Gigabyte Intel HD 630 KBL GT2150030004500600075006800.26728.86679.7MIN: 6317.59 / MAX: 7109.79MIN: 5957.67 / MAX: 7114.06MIN: 6128.86 / MAX: 7116.21

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Writes133Gigabyte Intel HD 630 KBL GT24K8K12K16K20K190331924218929

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Sequential Fill133Gigabyte Intel HD 630 KBL GT2120K240K360K480K600K5432785346935386781. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: resnet-v2-50133Gigabyte Intel HD 630 KBL GT2122436486053.9754.4453.64MIN: 53.8 / MAX: 69.02MIN: 54.21 / MAX: 69.49MIN: 53.39 / MAX: 55.191. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mobilenet133Gigabyte Intel HD 630 KBL GT281624324035.8935.7936.32MIN: 35.68 / MAX: 50.5MIN: 35.71 / MAX: 36.36MIN: 35.68 / MAX: 51.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnet133Gigabyte Intel HD 630 KBL GT261218243025.1225.4825.23MIN: 24.62 / MAX: 26.09MIN: 24.93 / MAX: 26.06MIN: 24.83 / MAX: 25.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: High133Gigabyte Intel HD 630 KBL GT22040608010089.190.290.1

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Read Random Write Random133Gigabyte Intel HD 630 KBL GT2100K200K300K400K500K4597124580754636591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0Compressor: blosclz133Gigabyte Intel HD 630 KBL GT2140028004200560070006507.36577.36498.31. (CC) gcc options: -std=gnu99 -O3 -pthread -lrt -lm

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: squeezenet_ssd133Gigabyte Intel HD 630 KBL GT271421283529.7229.6630.02MIN: 29.5 / MAX: 29.91MIN: 29.13 / MAX: 31.47MIN: 29.85 / MAX: 30.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: ALS Movie Lens133Gigabyte Intel HD 630 KBL GT22K4K6K8K10K9997.09886.210004.9MIN: 9658.79 / MAX: 12215.52MIN: 9600.83 / MAX: 12257.46MIN: 9672.43 / MAX: 12238.57

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: MobileNetV2_224133Gigabyte Intel HD 630 KBL GT21.21372.42743.64114.85486.06855.3345.3945.380MIN: 5.3 / MAX: 6.14MIN: 5.35 / MAX: 11.03MIN: 5.35 / MAX: 6.021. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: shufflenet-v2133Gigabyte Intel HD 630 KBL GT24812162015.3915.2215.31MIN: 8.58 / MAX: 16.01MIN: 7.93 / MAX: 15.93MIN: 8.21 / MAX: 15.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: squeezenetv1.1133Gigabyte Intel HD 630 KBL GT21.32772.65543.98315.31086.63855.8415.9015.893MIN: 5.79 / MAX: 6.63MIN: 5.85 / MAX: 6.74MIN: 5.86 / MAX: 6.61. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: yolov4-tiny133Gigabyte Intel HD 630 KBL GT2122436486050.9250.9551.44MIN: 50.79 / MAX: 51.45MIN: 50.84 / MAX: 51.5MIN: 50.79 / MAX: 52.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v2133Gigabyte Intel HD 630 KBL GT22040608010079.7179.7980.44MIN: 79.6 / MAX: 79.79MIN: 79.69 / MAX: 79.99MIN: 80.22 / MAX: 81.221. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Medium133Gigabyte Intel HD 630 KBL GT2306090120150118.1117.7117.1

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenetV3133Gigabyte Intel HD 630 KBL GT20.61041.22081.83122.44163.0522.6922.7132.692MIN: 2.64 / MAX: 3.5MIN: 2.69 / MAX: 2.94MIN: 2.66 / MAX: 2.761. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: SqueezeNetV1.0133Gigabyte Intel HD 630 KBL GT2369121510.2110.2710.29MIN: 10.15 / MAX: 11.25MIN: 10.21 / MAX: 11.53MIN: 10.22 / MAX: 11.081. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: regnety_400m133Gigabyte Intel HD 630 KBL GT24812162015.7415.8515.80MIN: 14.82 / MAX: 16.07MIN: 13.6 / MAX: 16.4MIN: 14.13 / MAX: 16.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet133Gigabyte Intel HD 630 KBL GT22468108.258.228.20MIN: 8.18 / MAX: 17.28MIN: 8.18 / MAX: 8.29MIN: 8.17 / MAX: 8.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd133Gigabyte Intel HD 630 KBL GT2102030405046.0246.0246.23MIN: 45.8 / MAX: 46.65MIN: 45.79 / MAX: 54.93MIN: 46.04 / MAX: 46.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: mobilenet-v1-1.0133Gigabyte Intel HD 630 KBL GT22468107.0187.0507.018MIN: 6.98 / MAX: 7.77MIN: 7.02 / MAX: 7.94MIN: 6.98 / MAX: 8.781. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v2-v2 - Model: mobilenet-v2133Gigabyte Intel HD 630 KBL GT236912159.069.109.06MIN: 9.02 / MAX: 9.59MIN: 9.04 / MAX: 10.36MIN: 9 / MAX: 10.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Savina Reactors.IO133Gigabyte Intel HD 630 KBL GT22K4K6K8K10K8160.08181.08196.0MAX: 10497.26MAX: 10636.63MAX: 10847.96

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.2Model: inception-v3133Gigabyte Intel HD 630 KBL GT2142842567064.6364.5964.87MIN: 64.49 / MAX: 79.67MIN: 64.46 / MAX: 79.52MIN: 64.62 / MAX: 154.331. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet18133Gigabyte Intel HD 630 KBL GT271421283530.4830.3530.47MIN: 30.39 / MAX: 31.07MIN: 30.22 / MAX: 38.89MIN: 30.37 / MAX: 31.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18133Gigabyte Intel HD 630 KBL GT261218243023.9024.0023.99MIN: 23.11 / MAX: 24.43MIN: 23.71 / MAX: 24.08MIN: 23.68 / MAX: 24.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Random Forest133Gigabyte Intel HD 630 KBL GT220040060080010001049.51053.71050.9MIN: 869.26 / MAX: 1560.99MIN: 872.11 / MAX: 1644.7MIN: 897.31 / MAX: 1687.01

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: efficientnet-b0133Gigabyte Intel HD 630 KBL GT24812162017.6817.6117.65MIN: 17.58 / MAX: 18.39MIN: 17.29 / MAX: 17.68MIN: 17.32 / MAX: 18.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazeface133Gigabyte Intel HD 630 KBL GT20.58731.17461.76192.34922.93652.612.612.60MIN: 2.55 / MAX: 2.72MIN: 2.53 / MAX: 2.95MIN: 2.53 / MAX: 2.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface133Gigabyte Intel HD 630 KBL GT20.58731.17461.76192.34922.93652.612.602.61MIN: 2.58 / MAX: 2.67MIN: 2.57 / MAX: 2.97MIN: 2.58 / MAX: 2.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet133Gigabyte Intel HD 630 KBL GT2130026003900520065005833.935819.585813.43MIN: 5810.02 / MAX: 5859.09MIN: 5799.5 / MAX: 5845.28MIN: 5796.45 / MAX: 5848.971. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: In-Memory Database Shootout133Gigabyte Intel HD 630 KBL GT2130026003900520065006006.35986.26004.7MIN: 5524.22 / MAX: 6319.13MIN: 5586.91 / MAX: 6474.45MIN: 5579.43 / MAX: 6886.35

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.5.1Total Time For Sample Scene133Gigabyte Intel HD 630 KBL GT2150300450600750679.50677.40678.271. (CXX) g++ options: -std=c++11 -pthread -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: vgg16133Gigabyte Intel HD 630 KBL GT220406080100110.92110.79110.58MIN: 110.73 / MAX: 119.9MIN: 110.65 / MAX: 111.31MIN: 110.39 / MAX: 119.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet133Gigabyte Intel HD 630 KBL GT271421283529.4729.3829.46MIN: 29.36 / MAX: 30.09MIN: 29.28 / MAX: 29.95MIN: 29.35 / MAX: 30.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50133Gigabyte Intel HD 630 KBL GT2122436486051.3751.4551.31MIN: 51.04 / MAX: 51.53MIN: 51.14 / MAX: 51.62MIN: 50.67 / MAX: 51.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16133Gigabyte Intel HD 630 KBL GT24080120160200163.69163.29163.46MIN: 162.78 / MAX: 164.92MIN: 162.32 / MAX: 164.77MIN: 162.33 / MAX: 164.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50133Gigabyte Intel HD 630 KBL GT2132639526558.4058.3958.52MIN: 58.27 / MAX: 59.05MIN: 58.28 / MAX: 59MIN: 58.38 / MAX: 60.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet133Gigabyte Intel HD 630 KBL GT261218243024.7924.7424.77MIN: 24.68 / MAX: 25.29MIN: 24.66 / MAX: 25.16MIN: 24.67 / MAX: 25.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2133Gigabyte Intel HD 630 KBL GT22468106.526.516.52MIN: 6.48 / MAX: 7.03MIN: 6.47 / MAX: 7.06MIN: 6.47 / MAX: 7.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0133Gigabyte Intel HD 630 KBL GT2369121513.3313.3513.33MIN: 13.29 / MAX: 13.58MIN: 13.29 / MAX: 15.94MIN: 13.29 / MAX: 13.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3133Gigabyte Intel HD 630 KBL GT22468107.897.907.89MIN: 7.85 / MAX: 7.94MIN: 7.87 / MAX: 7.94MIN: 7.84 / MAX: 8.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenet133Gigabyte Intel HD 630 KBL GT261218243024.2624.2324.23MIN: 23.9 / MAX: 24.38MIN: 23.91 / MAX: 24.33MIN: 24.11 / MAX: 24.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 4.0Test: Reads133Gigabyte Intel HD 630 KBL GT24K8K12K16K20K181001810418084

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.1133Gigabyte Intel HD 630 KBL GT270140210280350340.38340.36340.68MIN: 340.29 / MAX: 340.62MIN: 340.27 / MAX: 340.57MIN: 340.44 / MAX: 341.111. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: regnety_400m133Gigabyte Intel HD 630 KBL GT24812162013.7613.7513.75MIN: 13.73 / MAX: 14.35MIN: 13.7 / MAX: 14.3MIN: 13.71 / MAX: 14.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.52.1Resolution: 1920 x 1080 - Effects Quality: Ultra133Gigabyte Intel HD 630 KBL GT2102030405042.942.942.9

1

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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-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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 30 July 2021 08:54 by user phoronix.

Gigabyte Intel HD 630 KBL GT2

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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-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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 30 July 2021 11:41 by user phoronix.

33

Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 KBL GT2 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: DELL S2409W, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 20.10, Kernel: 5.8.0-55-generic (x86_64), Desktop: GNOME Shell 3.38.1, Display Server: X Server 1.20.9, OpenGL: 4.6 Mesa 20.2.1, Vulkan: 1.2.145, Compiler: GCC 10.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --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-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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xde - Thermald 2.3
Java Notes: OpenJDK Runtime Environment (build 11.0.11+9-Ubuntu-0ubuntu2.20.10)
Python Notes: Python 3.8.6
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 30 July 2021 13:33 by user phoronix.