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: mnasnetGigabyte Intel HD 630 KBL GT233136912158.8911.209.37MIN: 8.21 / MAX: 9.01MIN: 10.63 / MAX: 12.54MIN: 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: SpaceshipGigabyte Intel HD 630 KBL GT23310.1350.270.4050.540.6750.60.50.6

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 BayesGigabyte Intel HD 630 KBL GT23313K6K9K12K15K12161.514308.212063.6MIN: 9618.9MIN: 11602.35 / MAX: 14308.24MIN: 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-v2Gigabyte Intel HD 630 KBL GT233136912158.739.289.69MIN: 8.01 / MAX: 8.84MIN: 8.03 / MAX: 9.55MIN: 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 PageRankGigabyte Intel HD 630 KBL GT2331130026003900520065005552.36041.86151.1MIN: 5218.95 / MAX: 5807.51MIN: 5323.01 / MAX: 6753.9MIN: 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 1:3Gigabyte Intel HD 630 KBL GT23313K6K9K12K15K155771588414819

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-tinyGigabyte Intel HD 630 KBL GT2331153045607565.7764.7162.41MIN: 60.03 / MAX: 67.54MIN: 58.6 / MAX: 66.71MIN: 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 SyncGigabyte Intel HD 630 KBL GT233120040060080010001105108210501. (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 + FuturesGigabyte Intel HD 630 KBL GT2331300600900120015001453.51524.21511.2MIN: 1413.02 / MAX: 1514.89MIN: 1475.59 / MAX: 1610.38MIN: 1488.4 / MAX: 1554.47

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala DottyGigabyte Intel HD 630 KBL GT2331300600900120015001562.21583.21625.0MIN: 905.62 / MAX: 2847.21MIN: 912.73 / MAX: 2949.81MIN: 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 FillGigabyte Intel HD 630 KBL GT2331100K200K300K400K500K4416884559084488561. (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 TreeGigabyte Intel HD 630 KBL GT23313K6K9K12K15K14144.214563.314319.8MIN: 11075.34MIN: 11095.26MIN: 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: mobilenetGigabyte Intel HD 630 KBL GT233161218243025.7225.8626.46MIN: 25.34 / MAX: 36.46MIN: 25.73 / MAX: 26.28MIN: 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 WritingGigabyte Intel HD 630 KBL GT233170K140K210K280K350K3482573389193448611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random ReadGigabyte Intel HD 630 KBL GT23312M4M6M8M10M1079210410586553108647591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update RandomGigabyte Intel HD 630 KBL GT233140K80K120K160K200K1731841689201703521. (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 v2Gigabyte Intel HD 630 KBL GT233180160240320400379.75387.13377.85MIN: 378.88 / MAX: 380.92MIN: 381.44 / MAX: 390.05MIN: 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 RequestsGigabyte Intel HD 630 KBL GT233150010001500200025002382.22373.32329.9MIN: 2062.75 / MAX: 2623.8MIN: 2039.53 / MAX: 2574.73MIN: 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 1:1Gigabyte Intel HD 630 KBL GT23313K6K9K12K15K154491512515310

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-v3Gigabyte Intel HD 630 KBL GT23314812162015.4315.3815.67MIN: 10.06 / MAX: 15.97MIN: 10.17 / MAX: 16MIN: 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 ALSGigabyte Intel HD 630 KBL GT2331150030004500600075006679.76728.86800.2MIN: 6128.86 / MAX: 7116.21MIN: 5957.67 / MAX: 7114.06MIN: 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: WritesGigabyte Intel HD 630 KBL GT23314K8K12K16K20K189291924219033

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 FillGigabyte Intel HD 630 KBL GT2331120K240K360K480K600K5386785346935432781. (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-v2-50Gigabyte Intel HD 630 KBL GT2331122436486053.6454.4453.97MIN: 53.39 / MAX: 55.19MIN: 54.21 / MAX: 69.49MIN: 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: mobilenetGigabyte Intel HD 630 KBL GT233181624324036.3235.7935.89MIN: 35.68 / MAX: 51.08MIN: 35.71 / MAX: 36.36MIN: 35.68 / MAX: 50.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnetGigabyte Intel HD 630 KBL GT233161218243025.2325.4825.12MIN: 24.83 / MAX: 25.74MIN: 24.93 / MAX: 26.06MIN: 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: HighGigabyte Intel HD 630 KBL GT23312040608010090.190.289.1

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 RandomGigabyte Intel HD 630 KBL GT2331100K200K300K400K500K4636594580754597121. (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: blosclzGigabyte Intel HD 630 KBL GT2331140028004200560070006498.36577.36507.31. (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_ssdGigabyte Intel HD 630 KBL GT233171421283530.0229.6629.72MIN: 29.85 / MAX: 30.12MIN: 29.13 / MAX: 31.47MIN: 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 LensGigabyte Intel HD 630 KBL GT23312K4K6K8K10K10004.99886.29997.0MIN: 9672.43 / MAX: 12238.57MIN: 9600.83 / MAX: 12257.46MIN: 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_224Gigabyte Intel HD 630 KBL GT23311.21372.42743.64114.85486.06855.3805.3945.334MIN: 5.35 / MAX: 6.02MIN: 5.35 / MAX: 11.03MIN: 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-v2Gigabyte Intel HD 630 KBL GT23314812162015.3115.2215.39MIN: 8.21 / MAX: 15.95MIN: 7.93 / MAX: 15.93MIN: 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: squeezenetv1.1Gigabyte Intel HD 630 KBL GT23311.32772.65543.98315.31086.63855.8935.9015.841MIN: 5.86 / MAX: 6.6MIN: 5.85 / MAX: 6.74MIN: 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-tinyGigabyte Intel HD 630 KBL GT2331122436486051.4450.9550.92MIN: 50.79 / MAX: 52.08MIN: 50.84 / MAX: 51.5MIN: 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 v2Gigabyte Intel HD 630 KBL GT23312040608010080.4479.7979.71MIN: 80.22 / MAX: 81.22MIN: 79.69 / MAX: 79.99MIN: 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: MediumGigabyte Intel HD 630 KBL GT2331306090120150117.1117.7118.1

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: mobilenetV3Gigabyte Intel HD 630 KBL GT23310.61041.22081.83122.44163.0522.6922.7132.692MIN: 2.66 / MAX: 2.76MIN: 2.69 / MAX: 2.94MIN: 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: SqueezeNetV1.0Gigabyte Intel HD 630 KBL GT2331369121510.2910.2710.21MIN: 10.22 / MAX: 11.08MIN: 10.21 / MAX: 11.53MIN: 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_400mGigabyte Intel HD 630 KBL GT23314812162015.8015.8515.74MIN: 14.13 / MAX: 16.02MIN: 13.6 / MAX: 16.4MIN: 14.82 / MAX: 16.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnetGigabyte Intel HD 630 KBL GT23312468108.208.228.25MIN: 8.17 / MAX: 8.25MIN: 8.18 / MAX: 8.29MIN: 8.18 / MAX: 17.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssdGigabyte Intel HD 630 KBL GT2331102030405046.2346.0246.02MIN: 46.04 / MAX: 46.99MIN: 45.79 / MAX: 54.93MIN: 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-v1-1.0Gigabyte Intel HD 630 KBL GT23312468107.0187.0507.018MIN: 6.98 / MAX: 8.78MIN: 7.02 / MAX: 7.94MIN: 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-v2Gigabyte Intel HD 630 KBL GT233136912159.069.109.06MIN: 9 / MAX: 10.49MIN: 9.04 / MAX: 10.36MIN: 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.IOGigabyte Intel HD 630 KBL GT23312K4K6K8K10K8196.08181.08160.0MAX: 10847.96MAX: 10636.63MAX: 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-v3Gigabyte Intel HD 630 KBL GT2331142842567064.8764.5964.63MIN: 64.62 / MAX: 154.33MIN: 64.46 / MAX: 79.52MIN: 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: resnet18Gigabyte Intel HD 630 KBL GT233171421283530.4730.3530.48MIN: 30.37 / MAX: 31.3MIN: 30.22 / MAX: 38.89MIN: 30.39 / MAX: 31.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet18Gigabyte Intel HD 630 KBL GT233161218243023.9924.0023.90MIN: 23.68 / MAX: 24.13MIN: 23.71 / MAX: 24.08MIN: 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 ForestGigabyte Intel HD 630 KBL GT233120040060080010001050.91053.71049.5MIN: 897.31 / MAX: 1687.01MIN: 872.11 / MAX: 1644.7MIN: 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-b0Gigabyte Intel HD 630 KBL GT23314812162017.6517.6117.68MIN: 17.32 / MAX: 18.56MIN: 17.29 / MAX: 17.68MIN: 17.58 / MAX: 18.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazefaceGigabyte Intel HD 630 KBL GT23310.58731.17461.76192.34922.93652.602.612.61MIN: 2.53 / MAX: 2.65MIN: 2.53 / MAX: 2.95MIN: 2.55 / MAX: 2.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazefaceGigabyte Intel HD 630 KBL GT23310.58731.17461.76192.34922.93652.612.602.61MIN: 2.58 / MAX: 2.66MIN: 2.57 / MAX: 2.97MIN: 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: DenseNetGigabyte Intel HD 630 KBL GT2331130026003900520065005813.435819.585833.93MIN: 5796.45 / MAX: 5848.97MIN: 5799.5 / MAX: 5845.28MIN: 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 ShootoutGigabyte Intel HD 630 KBL GT2331130026003900520065006004.75986.26006.3MIN: 5579.43 / MAX: 6886.35MIN: 5586.91 / MAX: 6474.45MIN: 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 SceneGigabyte Intel HD 630 KBL GT2331150300450600750678.27677.40679.501. (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: vgg16Gigabyte Intel HD 630 KBL GT233120406080100110.58110.79110.92MIN: 110.39 / MAX: 119.35MIN: 110.65 / MAX: 111.31MIN: 110.73 / MAX: 119.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenetGigabyte Intel HD 630 KBL GT233171421283529.4629.3829.47MIN: 29.35 / MAX: 30.04MIN: 29.28 / MAX: 29.95MIN: 29.36 / MAX: 30.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet50Gigabyte Intel HD 630 KBL GT2331122436486051.3151.4551.37MIN: 50.67 / MAX: 51.44MIN: 51.14 / MAX: 51.62MIN: 51.04 / MAX: 51.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg16Gigabyte Intel HD 630 KBL GT23314080120160200163.46163.29163.69MIN: 162.33 / MAX: 164.77MIN: 162.32 / MAX: 164.77MIN: 162.78 / MAX: 164.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet50Gigabyte Intel HD 630 KBL GT2331132639526558.5258.3958.40MIN: 58.38 / MAX: 60.98MIN: 58.28 / MAX: 59MIN: 58.27 / MAX: 59.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnetGigabyte Intel HD 630 KBL GT233161218243024.7724.7424.79MIN: 24.67 / MAX: 25.59MIN: 24.66 / MAX: 25.16MIN: 24.68 / MAX: 25.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v2Gigabyte Intel HD 630 KBL GT23312468106.526.516.52MIN: 6.47 / MAX: 7.09MIN: 6.47 / MAX: 7.06MIN: 6.48 / MAX: 7.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b0Gigabyte Intel HD 630 KBL GT2331369121513.3313.3513.33MIN: 13.29 / MAX: 13.8MIN: 13.29 / MAX: 15.94MIN: 13.29 / MAX: 13.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v3Gigabyte Intel HD 630 KBL GT23312468107.897.907.89MIN: 7.84 / MAX: 8.43MIN: 7.87 / MAX: 7.94MIN: 7.85 / MAX: 7.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenetGigabyte Intel HD 630 KBL GT233161218243024.2324.2324.26MIN: 24.11 / MAX: 24.36MIN: 23.91 / MAX: 24.33MIN: 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: ReadsGigabyte Intel HD 630 KBL GT23314K8K12K16K20K180841810418100

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 v1.1Gigabyte Intel HD 630 KBL GT233170140210280350340.68340.36340.38MIN: 340.44 / MAX: 341.11MIN: 340.27 / MAX: 340.57MIN: 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_400mGigabyte Intel HD 630 KBL GT23314812162013.7513.7513.76MIN: 13.71 / MAX: 14.29MIN: 13.7 / MAX: 14.3MIN: 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: UltraGigabyte Intel HD 630 KBL GT2331102030405042.942.942.9

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.