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
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July 30 2021
  3 Hours, 7 Minutes
Gigabyte Intel HD 630 KBL GT2
July 30 2021
  3 Hours, 1 Minute
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July 30 2021
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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: mnasnet33Gigabyte Intel HD 630 KBL GT21369121511.208.899.37MIN: 10.63 / MAX: 12.54MIN: 8.21 / MAX: 9.01MIN: 8.98 / MAX: 9.61. (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: Spaceship33Gigabyte Intel HD 630 KBL GT210.1350.270.4050.540.6750.50.60.6

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 Bayes33Gigabyte Intel HD 630 KBL GT213K6K9K12K15K14308.212161.512063.6MIN: 11602.35 / MAX: 14308.24MIN: 9618.9MIN: 9675.73

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-v233Gigabyte Intel HD 630 KBL GT2136912159.288.739.69MIN: 8.03 / MAX: 9.55MIN: 8.01 / MAX: 8.84MIN: 8.75 / MAX: 10.21. (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 PageRank33Gigabyte Intel HD 630 KBL GT21130026003900520065006041.85552.36151.1MIN: 5323.01 / MAX: 6753.9MIN: 5218.95 / MAX: 5807.51MIN: 5460.45 / MAX: 6839.2

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 1:333Gigabyte Intel HD 630 KBL GT213K6K9K12K15K158841557714819

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-tiny33Gigabyte Intel HD 630 KBL GT21153045607564.7165.7762.41MIN: 58.6 / MAX: 66.71MIN: 60.03 / MAX: 67.54MIN: 58.35 / MAX: 67.961. (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 Sync33Gigabyte Intel HD 630 KBL GT2120040060080010001082110510501. (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 + Futures33Gigabyte Intel HD 630 KBL GT21300600900120015001524.21453.51511.2MIN: 1475.59 / MAX: 1610.38MIN: 1413.02 / MAX: 1514.89MIN: 1488.4 / MAX: 1554.47

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty33Gigabyte Intel HD 630 KBL GT21300600900120015001583.21562.21625.0MIN: 912.73 / MAX: 2949.81MIN: 905.62 / MAX: 2847.21MIN: 959.62 / MAX: 2818.91

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 Fill33Gigabyte Intel HD 630 KBL GT21100K200K300K400K500K4559084416884488561. (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 Tree33Gigabyte Intel HD 630 KBL GT213K6K9K12K15K14563.314144.214319.8MIN: 11095.26MIN: 11075.34MIN: 10877.92 / MAX: 14319.83

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: mobilenet33Gigabyte Intel HD 630 KBL GT2161218243025.8625.7226.46MIN: 25.73 / MAX: 26.28MIN: 25.34 / MAX: 36.46MIN: 26.22 / MAX: 27.721. (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 Writing33Gigabyte Intel HD 630 KBL GT2170K140K210K280K350K3389193482573448611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read33Gigabyte Intel HD 630 KBL GT212M4M6M8M10M1058655310792104108647591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random33Gigabyte Intel HD 630 KBL GT2140K80K120K160K200K1689201731841703521. (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 v233Gigabyte Intel HD 630 KBL GT2180160240320400387.13379.75377.85MIN: 381.44 / MAX: 390.05MIN: 378.88 / MAX: 380.92MIN: 377.11 / MAX: 378.861. (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 Requests33Gigabyte Intel HD 630 KBL GT2150010001500200025002373.32382.22329.9MIN: 2039.53 / MAX: 2574.73MIN: 2062.75 / MAX: 2623.8MIN: 2027.03 / MAX: 2423.12

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 1:133Gigabyte Intel HD 630 KBL GT213K6K9K12K15K151251544915310

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-v333Gigabyte Intel HD 630 KBL GT214812162015.3815.4315.67MIN: 10.17 / MAX: 16MIN: 10.06 / MAX: 15.97MIN: 11.55 / MAX: 16.031. (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 ALS33Gigabyte Intel HD 630 KBL GT21150030004500600075006728.86679.76800.2MIN: 5957.67 / MAX: 7114.06MIN: 6128.86 / MAX: 7116.21MIN: 6317.59 / MAX: 7109.79

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: Writes33Gigabyte Intel HD 630 KBL GT214K8K12K16K20K192421892919033

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 Fill33Gigabyte Intel HD 630 KBL GT21120K240K360K480K600K5346935386785432781. (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-v2-5033Gigabyte Intel HD 630 KBL GT21122436486054.4453.6453.97MIN: 54.21 / MAX: 69.49MIN: 53.39 / MAX: 55.19MIN: 53.8 / MAX: 69.021. (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: CPU - Model: mobilenet33Gigabyte Intel HD 630 KBL GT2181624324035.7936.3235.89MIN: 35.71 / MAX: 36.36MIN: 35.68 / MAX: 51.08MIN: 35.68 / MAX: 50.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnet33Gigabyte Intel HD 630 KBL GT2161218243025.4825.2325.12MIN: 24.93 / MAX: 26.06MIN: 24.83 / MAX: 25.74MIN: 24.62 / MAX: 26.091. (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: High33Gigabyte Intel HD 630 KBL GT212040608010090.290.189.1

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 Random33Gigabyte Intel HD 630 KBL GT21100K200K300K400K500K4580754636594597121. (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: blosclz33Gigabyte Intel HD 630 KBL GT21140028004200560070006577.36498.36507.31. (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_ssd33Gigabyte Intel HD 630 KBL GT2171421283529.6630.0229.72MIN: 29.13 / MAX: 31.47MIN: 29.85 / MAX: 30.12MIN: 29.5 / MAX: 29.911. (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 Lens33Gigabyte Intel HD 630 KBL GT212K4K6K8K10K9886.210004.99997.0MIN: 9600.83 / MAX: 12257.46MIN: 9672.43 / MAX: 12238.57MIN: 9658.79 / MAX: 12215.52

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_22433Gigabyte Intel HD 630 KBL GT211.21372.42743.64114.85486.06855.3945.3805.334MIN: 5.35 / MAX: 11.03MIN: 5.35 / MAX: 6.02MIN: 5.3 / MAX: 6.141. (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-v233Gigabyte Intel HD 630 KBL GT214812162015.2215.3115.39MIN: 7.93 / MAX: 15.93MIN: 8.21 / MAX: 15.95MIN: 8.58 / MAX: 16.011. (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: squeezenetv1.133Gigabyte Intel HD 630 KBL GT211.32772.65543.98315.31086.63855.9015.8935.841MIN: 5.85 / MAX: 6.74MIN: 5.86 / MAX: 6.6MIN: 5.79 / MAX: 6.631. (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-tiny33Gigabyte Intel HD 630 KBL GT21122436486050.9551.4450.92MIN: 50.84 / MAX: 51.5MIN: 50.79 / MAX: 52.08MIN: 50.79 / MAX: 51.451. (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 v233Gigabyte Intel HD 630 KBL GT212040608010079.7980.4479.71MIN: 79.69 / MAX: 79.99MIN: 80.22 / MAX: 81.22MIN: 79.6 / MAX: 79.791. (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: Medium33Gigabyte Intel HD 630 KBL GT21306090120150117.7117.1118.1

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: mobilenetV333Gigabyte Intel HD 630 KBL GT210.61041.22081.83122.44163.0522.7132.6922.692MIN: 2.69 / MAX: 2.94MIN: 2.66 / MAX: 2.76MIN: 2.64 / MAX: 3.51. (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: SqueezeNetV1.033Gigabyte Intel HD 630 KBL GT21369121510.2710.2910.21MIN: 10.21 / MAX: 11.53MIN: 10.22 / MAX: 11.08MIN: 10.15 / MAX: 11.251. (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_400m33Gigabyte Intel HD 630 KBL GT214812162015.8515.8015.74MIN: 13.6 / MAX: 16.4MIN: 14.13 / MAX: 16.02MIN: 14.82 / MAX: 16.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet33Gigabyte Intel HD 630 KBL GT212468108.228.208.25MIN: 8.18 / MAX: 8.29MIN: 8.17 / MAX: 8.25MIN: 8.18 / MAX: 17.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd33Gigabyte Intel HD 630 KBL GT21102030405046.0246.2346.02MIN: 45.79 / MAX: 54.93MIN: 46.04 / MAX: 46.99MIN: 45.8 / MAX: 46.651. (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-v1-1.033Gigabyte Intel HD 630 KBL GT212468107.0507.0187.018MIN: 7.02 / MAX: 7.94MIN: 6.98 / MAX: 8.78MIN: 6.98 / MAX: 7.771. (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-v233Gigabyte Intel HD 630 KBL GT2136912159.109.069.06MIN: 9.04 / MAX: 10.36MIN: 9 / MAX: 10.49MIN: 9.02 / MAX: 9.591. (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.IO33Gigabyte Intel HD 630 KBL GT212K4K6K8K10K8181.08196.08160.0MAX: 10636.63MAX: 10847.96MAX: 10497.26

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-v333Gigabyte Intel HD 630 KBL GT21142842567064.5964.8764.63MIN: 64.46 / MAX: 79.52MIN: 64.62 / MAX: 154.33MIN: 64.49 / MAX: 79.671. (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: resnet1833Gigabyte Intel HD 630 KBL GT2171421283530.3530.4730.48MIN: 30.22 / MAX: 38.89MIN: 30.37 / MAX: 31.3MIN: 30.39 / MAX: 31.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet1833Gigabyte Intel HD 630 KBL GT2161218243024.0023.9923.90MIN: 23.71 / MAX: 24.08MIN: 23.68 / MAX: 24.13MIN: 23.11 / MAX: 24.431. (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 Forest33Gigabyte Intel HD 630 KBL GT2120040060080010001053.71050.91049.5MIN: 872.11 / MAX: 1644.7MIN: 897.31 / MAX: 1687.01MIN: 869.26 / MAX: 1560.99

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-b033Gigabyte Intel HD 630 KBL GT214812162017.6117.6517.68MIN: 17.29 / MAX: 17.68MIN: 17.32 / MAX: 18.56MIN: 17.58 / MAX: 18.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazeface33Gigabyte Intel HD 630 KBL GT210.58731.17461.76192.34922.93652.612.602.61MIN: 2.53 / MAX: 2.95MIN: 2.53 / MAX: 2.65MIN: 2.55 / MAX: 2.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface33Gigabyte Intel HD 630 KBL GT210.58731.17461.76192.34922.93652.602.612.61MIN: 2.57 / MAX: 2.97MIN: 2.58 / MAX: 2.66MIN: 2.58 / MAX: 2.671. (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: DenseNet33Gigabyte Intel HD 630 KBL GT21130026003900520065005819.585813.435833.93MIN: 5799.5 / MAX: 5845.28MIN: 5796.45 / MAX: 5848.97MIN: 5810.02 / MAX: 5859.091. (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 Shootout33Gigabyte Intel HD 630 KBL GT21130026003900520065005986.26004.76006.3MIN: 5586.91 / MAX: 6474.45MIN: 5579.43 / MAX: 6886.35MIN: 5524.22 / MAX: 6319.13

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 Scene33Gigabyte Intel HD 630 KBL GT21150300450600750677.40678.27679.501. (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: vgg1633Gigabyte Intel HD 630 KBL GT2120406080100110.79110.58110.92MIN: 110.65 / MAX: 111.31MIN: 110.39 / MAX: 119.35MIN: 110.73 / MAX: 119.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet33Gigabyte Intel HD 630 KBL GT2171421283529.3829.4629.47MIN: 29.28 / MAX: 29.95MIN: 29.35 / MAX: 30.04MIN: 29.36 / MAX: 30.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet5033Gigabyte Intel HD 630 KBL GT21122436486051.4551.3151.37MIN: 51.14 / MAX: 51.62MIN: 50.67 / MAX: 51.44MIN: 51.04 / MAX: 51.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg1633Gigabyte Intel HD 630 KBL GT214080120160200163.29163.46163.69MIN: 162.32 / MAX: 164.77MIN: 162.33 / MAX: 164.77MIN: 162.78 / MAX: 164.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet5033Gigabyte Intel HD 630 KBL GT21132639526558.3958.5258.40MIN: 58.28 / MAX: 59MIN: 58.38 / MAX: 60.98MIN: 58.27 / MAX: 59.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet33Gigabyte Intel HD 630 KBL GT2161218243024.7424.7724.79MIN: 24.66 / MAX: 25.16MIN: 24.67 / MAX: 25.59MIN: 24.68 / MAX: 25.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v233Gigabyte Intel HD 630 KBL GT212468106.516.526.52MIN: 6.47 / MAX: 7.06MIN: 6.47 / MAX: 7.09MIN: 6.48 / MAX: 7.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b033Gigabyte Intel HD 630 KBL GT21369121513.3513.3313.33MIN: 13.29 / MAX: 15.94MIN: 13.29 / MAX: 13.8MIN: 13.29 / MAX: 13.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v333Gigabyte Intel HD 630 KBL GT212468107.907.897.89MIN: 7.87 / MAX: 7.94MIN: 7.84 / MAX: 8.43MIN: 7.85 / MAX: 7.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenet33Gigabyte Intel HD 630 KBL GT2161218243024.2324.2324.26MIN: 23.91 / MAX: 24.33MIN: 24.11 / MAX: 24.36MIN: 23.9 / MAX: 24.381. (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: Reads33Gigabyte Intel HD 630 KBL GT214K8K12K16K20K181041808418100

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 v1.133Gigabyte Intel HD 630 KBL GT2170140210280350340.36340.68340.38MIN: 340.27 / MAX: 340.57MIN: 340.44 / MAX: 341.11MIN: 340.29 / MAX: 340.621. (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_400m33Gigabyte Intel HD 630 KBL GT214812162013.7513.7513.76MIN: 13.7 / MAX: 14.3MIN: 13.71 / MAX: 14.29MIN: 13.73 / MAX: 14.351. (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: Ultra33Gigabyte Intel HD 630 KBL GT21102030405042.942.942.9

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.