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
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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: mnasnet1Gigabyte Intel HD 630 KBL GT23336912159.378.8911.20MIN: 8.98 / MAX: 9.6MIN: 8.21 / MAX: 9.01MIN: 10.63 / MAX: 12.541. (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: Spaceship1Gigabyte Intel HD 630 KBL GT2330.1350.270.4050.540.6750.60.60.5

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 Bayes1Gigabyte Intel HD 630 KBL GT2333K6K9K12K15K12063.612161.514308.2MIN: 9675.73MIN: 9618.9MIN: 11602.35 / MAX: 14308.24

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-v21Gigabyte Intel HD 630 KBL GT23336912159.698.739.28MIN: 8.75 / MAX: 10.2MIN: 8.01 / MAX: 8.84MIN: 8.03 / MAX: 9.551. (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 PageRank1Gigabyte Intel HD 630 KBL GT233130026003900520065006151.15552.36041.8MIN: 5460.45 / MAX: 6839.2MIN: 5218.95 / MAX: 5807.51MIN: 5323.01 / MAX: 6753.9

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 1:31Gigabyte Intel HD 630 KBL GT2333K6K9K12K15K148191557715884

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-tiny1Gigabyte Intel HD 630 KBL GT233153045607562.4165.7764.71MIN: 58.35 / MAX: 67.96MIN: 60.03 / MAX: 67.54MIN: 58.6 / MAX: 66.711. (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 Sync1Gigabyte Intel HD 630 KBL GT23320040060080010001050110510821. (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 + Futures1Gigabyte Intel HD 630 KBL GT233300600900120015001511.21453.51524.2MIN: 1488.4 / MAX: 1554.47MIN: 1413.02 / MAX: 1514.89MIN: 1475.59 / MAX: 1610.38

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.12Test: Scala Dotty1Gigabyte Intel HD 630 KBL GT233300600900120015001625.01562.21583.2MIN: 959.62 / MAX: 2818.91MIN: 905.62 / MAX: 2847.21MIN: 912.73 / MAX: 2949.81

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 Fill1Gigabyte Intel HD 630 KBL GT233100K200K300K400K500K4488564416884559081. (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 Tree1Gigabyte Intel HD 630 KBL GT2333K6K9K12K15K14319.814144.214563.3MIN: 10877.92 / MAX: 14319.83MIN: 11075.34MIN: 11095.26

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: mobilenet1Gigabyte Intel HD 630 KBL GT23361218243026.4625.7225.86MIN: 26.22 / MAX: 27.72MIN: 25.34 / MAX: 36.46MIN: 25.73 / MAX: 26.281. (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 Writing1Gigabyte Intel HD 630 KBL GT23370K140K210K280K350K3448613482573389191. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Random Read1Gigabyte Intel HD 630 KBL GT2332M4M6M8M10M1086475910792104105865531. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.22.1Test: Update Random1Gigabyte Intel HD 630 KBL GT23340K80K120K160K200K1703521731841689201. (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 v21Gigabyte Intel HD 630 KBL GT23380160240320400377.85379.75387.13MIN: 377.11 / MAX: 378.86MIN: 378.88 / MAX: 380.92MIN: 381.44 / MAX: 390.051. (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 Requests1Gigabyte Intel HD 630 KBL GT23350010001500200025002329.92382.22373.3MIN: 2027.03 / MAX: 2423.12MIN: 2062.75 / MAX: 2623.8MIN: 2039.53 / MAX: 2574.73

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 1:11Gigabyte Intel HD 630 KBL GT2333K6K9K12K15K153101544915125

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-v31Gigabyte Intel HD 630 KBL GT2334812162015.6715.4315.38MIN: 11.55 / MAX: 16.03MIN: 10.06 / MAX: 15.97MIN: 10.17 / MAX: 161. (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 ALS1Gigabyte Intel HD 630 KBL GT233150030004500600075006800.26679.76728.8MIN: 6317.59 / MAX: 7109.79MIN: 6128.86 / MAX: 7116.21MIN: 5957.67 / MAX: 7114.06

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: Writes1Gigabyte Intel HD 630 KBL GT2334K8K12K16K20K190331892919242

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 Fill1Gigabyte Intel HD 630 KBL GT233120K240K360K480K600K5432785386785346931. (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-v2-501Gigabyte Intel HD 630 KBL GT233122436486053.9753.6454.44MIN: 53.8 / MAX: 69.02MIN: 53.39 / MAX: 55.19MIN: 54.21 / MAX: 69.491. (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: mobilenet1Gigabyte Intel HD 630 KBL GT23381624324035.8936.3235.79MIN: 35.68 / MAX: 50.5MIN: 35.68 / MAX: 51.08MIN: 35.71 / MAX: 36.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: alexnet1Gigabyte Intel HD 630 KBL GT23361218243025.1225.2325.48MIN: 24.62 / MAX: 26.09MIN: 24.83 / MAX: 25.74MIN: 24.93 / MAX: 26.061. (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: High1Gigabyte Intel HD 630 KBL GT2332040608010089.190.190.2

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 Random1Gigabyte Intel HD 630 KBL GT233100K200K300K400K500K4597124636594580751. (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: blosclz1Gigabyte Intel HD 630 KBL GT233140028004200560070006507.36498.36577.31. (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_ssd1Gigabyte Intel HD 630 KBL GT23371421283529.7230.0229.66MIN: 29.5 / MAX: 29.91MIN: 29.85 / MAX: 30.12MIN: 29.13 / MAX: 31.471. (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 Lens1Gigabyte Intel HD 630 KBL GT2332K4K6K8K10K9997.010004.99886.2MIN: 9658.79 / MAX: 12215.52MIN: 9672.43 / MAX: 12238.57MIN: 9600.83 / MAX: 12257.46

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_2241Gigabyte Intel HD 630 KBL GT2331.21372.42743.64114.85486.06855.3345.3805.394MIN: 5.3 / MAX: 6.14MIN: 5.35 / MAX: 6.02MIN: 5.35 / MAX: 11.031. (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-v21Gigabyte Intel HD 630 KBL GT2334812162015.3915.3115.22MIN: 8.58 / MAX: 16.01MIN: 8.21 / MAX: 15.95MIN: 7.93 / MAX: 15.931. (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: squeezenetv1.11Gigabyte Intel HD 630 KBL GT2331.32772.65543.98315.31086.63855.8415.8935.901MIN: 5.79 / MAX: 6.63MIN: 5.86 / MAX: 6.6MIN: 5.85 / MAX: 6.741. (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-tiny1Gigabyte Intel HD 630 KBL GT233122436486050.9251.4450.95MIN: 50.79 / MAX: 51.45MIN: 50.79 / MAX: 52.08MIN: 50.84 / MAX: 51.51. (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 v21Gigabyte Intel HD 630 KBL GT2332040608010079.7180.4479.79MIN: 79.6 / MAX: 79.79MIN: 80.22 / MAX: 81.22MIN: 79.69 / MAX: 79.991. (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: Medium1Gigabyte Intel HD 630 KBL GT233306090120150118.1117.1117.7

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: mobilenetV31Gigabyte Intel HD 630 KBL GT2330.61041.22081.83122.44163.0522.6922.6922.713MIN: 2.64 / MAX: 3.5MIN: 2.66 / MAX: 2.76MIN: 2.69 / MAX: 2.941. (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: SqueezeNetV1.01Gigabyte Intel HD 630 KBL GT233369121510.2110.2910.27MIN: 10.15 / MAX: 11.25MIN: 10.22 / MAX: 11.08MIN: 10.21 / MAX: 11.531. (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_400m1Gigabyte Intel HD 630 KBL GT2334812162015.7415.8015.85MIN: 14.82 / MAX: 16.07MIN: 14.13 / MAX: 16.02MIN: 13.6 / MAX: 16.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: mnasnet1Gigabyte Intel HD 630 KBL GT2332468108.258.208.22MIN: 8.18 / MAX: 17.28MIN: 8.17 / MAX: 8.25MIN: 8.18 / MAX: 8.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: squeezenet_ssd1Gigabyte Intel HD 630 KBL GT233102030405046.0246.2346.02MIN: 45.8 / MAX: 46.65MIN: 46.04 / MAX: 46.99MIN: 45.79 / MAX: 54.931. (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-v1-1.01Gigabyte Intel HD 630 KBL GT2332468107.0187.0187.050MIN: 6.98 / MAX: 7.77MIN: 6.98 / MAX: 8.78MIN: 7.02 / MAX: 7.941. (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-v21Gigabyte Intel HD 630 KBL GT23336912159.069.069.10MIN: 9.02 / MAX: 9.59MIN: 9 / MAX: 10.49MIN: 9.04 / MAX: 10.361. (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.IO1Gigabyte Intel HD 630 KBL GT2332K4K6K8K10K8160.08196.08181.0MAX: 10497.26MAX: 10847.96MAX: 10636.63

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-v31Gigabyte Intel HD 630 KBL GT233142842567064.6364.8764.59MIN: 64.49 / MAX: 79.67MIN: 64.62 / MAX: 154.33MIN: 64.46 / MAX: 79.521. (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: resnet181Gigabyte Intel HD 630 KBL GT23371421283530.4830.4730.35MIN: 30.39 / MAX: 31.07MIN: 30.37 / MAX: 31.3MIN: 30.22 / MAX: 38.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet181Gigabyte Intel HD 630 KBL GT23361218243023.9023.9924.00MIN: 23.11 / MAX: 24.43MIN: 23.68 / MAX: 24.13MIN: 23.71 / MAX: 24.081. (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 Forest1Gigabyte Intel HD 630 KBL GT23320040060080010001049.51050.91053.7MIN: 869.26 / MAX: 1560.99MIN: 897.31 / MAX: 1687.01MIN: 872.11 / MAX: 1644.7

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-b01Gigabyte Intel HD 630 KBL GT2334812162017.6817.6517.61MIN: 17.58 / MAX: 18.39MIN: 17.32 / MAX: 18.56MIN: 17.29 / MAX: 17.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: blazeface1Gigabyte Intel HD 630 KBL GT2330.58731.17461.76192.34922.93652.612.602.61MIN: 2.55 / MAX: 2.72MIN: 2.53 / MAX: 2.65MIN: 2.53 / MAX: 2.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: blazeface1Gigabyte Intel HD 630 KBL GT2330.58731.17461.76192.34922.93652.612.612.60MIN: 2.58 / MAX: 2.67MIN: 2.58 / MAX: 2.66MIN: 2.57 / MAX: 2.971. (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: DenseNet1Gigabyte Intel HD 630 KBL GT233130026003900520065005833.935813.435819.58MIN: 5810.02 / MAX: 5859.09MIN: 5796.45 / MAX: 5848.97MIN: 5799.5 / MAX: 5845.281. (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 Shootout1Gigabyte Intel HD 630 KBL GT233130026003900520065006006.36004.75986.2MIN: 5524.22 / MAX: 6319.13MIN: 5579.43 / MAX: 6886.35MIN: 5586.91 / MAX: 6474.45

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 Scene1Gigabyte Intel HD 630 KBL GT233150300450600750679.50678.27677.401. (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: vgg161Gigabyte Intel HD 630 KBL GT23320406080100110.92110.58110.79MIN: 110.73 / MAX: 119.9MIN: 110.39 / MAX: 119.35MIN: 110.65 / MAX: 111.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: googlenet1Gigabyte Intel HD 630 KBL GT23371421283529.4729.4629.38MIN: 29.36 / MAX: 30.09MIN: 29.35 / MAX: 30.04MIN: 29.28 / MAX: 29.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: resnet501Gigabyte Intel HD 630 KBL GT233122436486051.3751.3151.45MIN: 51.04 / MAX: 51.53MIN: 50.67 / MAX: 51.44MIN: 51.14 / MAX: 51.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: vgg161Gigabyte Intel HD 630 KBL GT2334080120160200163.69163.46163.29MIN: 162.78 / MAX: 164.92MIN: 162.33 / MAX: 164.77MIN: 162.32 / MAX: 164.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: resnet501Gigabyte Intel HD 630 KBL GT233132639526558.4058.5258.39MIN: 58.27 / MAX: 59.05MIN: 58.38 / MAX: 60.98MIN: 58.28 / MAX: 591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: alexnet1Gigabyte Intel HD 630 KBL GT23361218243024.7924.7724.74MIN: 24.68 / MAX: 25.29MIN: 24.67 / MAX: 25.59MIN: 24.66 / MAX: 25.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: shufflenet-v21Gigabyte Intel HD 630 KBL GT2332468106.526.526.51MIN: 6.48 / MAX: 7.03MIN: 6.47 / MAX: 7.09MIN: 6.47 / MAX: 7.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU - Model: efficientnet-b01Gigabyte Intel HD 630 KBL GT233369121513.3313.3313.35MIN: 13.29 / MAX: 13.58MIN: 13.29 / MAX: 13.8MIN: 13.29 / MAX: 15.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: CPU-v3-v3 - Model: mobilenet-v31Gigabyte Intel HD 630 KBL GT2332468107.897.897.90MIN: 7.85 / MAX: 7.94MIN: 7.84 / MAX: 8.43MIN: 7.87 / MAX: 7.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20210720Target: Vulkan GPU - Model: googlenet1Gigabyte Intel HD 630 KBL GT23361218243024.2624.2324.23MIN: 23.9 / MAX: 24.38MIN: 24.11 / MAX: 24.36MIN: 23.91 / MAX: 24.331. (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: Reads1Gigabyte Intel HD 630 KBL GT2334K8K12K16K20K181001808418104

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 v1.11Gigabyte Intel HD 630 KBL GT23370140210280350340.38340.68340.36MIN: 340.29 / MAX: 340.62MIN: 340.44 / MAX: 341.11MIN: 340.27 / MAX: 340.571. (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_400m1Gigabyte Intel HD 630 KBL GT2334812162013.7613.7513.75MIN: 13.73 / MAX: 14.35MIN: 13.71 / MAX: 14.29MIN: 13.7 / MAX: 14.31. (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: Ultra1Gigabyte Intel HD 630 KBL GT233102030405042.942.942.9

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.