haswell-xeon-extra

Intel Xeon E5-1680 v3 testing with a ASUS X99-A (3902 BIOS) and eVGA NVIDIA NVE7 1GB on Ubuntu 20.04 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 2009253-FI-HASWELLXE36
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September 25 2020
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September 25 2020
  3 Hours, 6 Minutes
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September 25 2020
  3 Hours, 29 Minutes
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September 25 2020
  2 Hours, 29 Minutes
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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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0x43
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + 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: Not affected + tsx_async_abort: Not affected

1a

2

3

Processor: Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS X99-A (3902 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 16GB, Disk: PNY CS900 240GB, Graphics: eVGA NVIDIA NVE7 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Intel I218-V

OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

haswell-xeon-extra ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution11a23Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads)ASUS X99-A (3902 BIOS)Intel Xeon E7 v3/Xeon16GBPNY CS900 240GBeVGA NVIDIA NVE7 1GBRealtek ALC1150G237HLIntel I218-VUbuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.3 Mesa 20.0.8GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler 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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0x43Security Details- itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + 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: Not affected + tsx_async_abort: Not affected

11a23Result OverviewPhoronix Test Suite100%100%101%101%eSpeak-NG Speech EngineLibRawWebP Image Encode

haswell-xeon-extra opencv: Object Detectionosbench: Memory Allocationspgbench: 1 - 250 - Read Write - Average Latencypgbench: 1 - 250 - Read Writepgbench: 100 - 100 - Read Writencnn: CPU - blazefaceopencv: Features 2Dosbench: Launch Programsosbench: Create Filesncnn: CPU - mobilenetncnn: CPU - yolov4-tinyinfluxdb: 1024 - 10000 - 2,5000,1 - 10000couchdb: 100 - 1000 - 24osbench: Create Threadsncnn: CPU - alexnetncnn: CPU - mnasnetncnn: CPU - efficientnet-b0osbench: Create Processespgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 1 - 50 - Read Only - Average Latencyinfluxdb: 4 - 10000 - 2,5000,1 - 10000pgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 50 - Read Onlyncnn: CPU - squeezenetlibraw: Post-Processing Benchmarkpgbench: 1 - 50 - Read Onlypgbench: 1 - 100 - Read Write - Average Latencyncnn: CPU-v3-v3 - mobilenet-v3pgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 250 - Read Onlypgbench: 1 - 100 - Read Onlyncnn: CPU - shufflenet-v2webp: Quality 100, Losslesspgbench: 100 - 50 - Read Only - Average Latencypgbench: 1 - 100 - Read Writencnn: CPU - googlenetncnn: CPU - resnet18webp: Quality 100webp: Quality 100, Lossless, Highest Compressionpgbench: 1 - 50 - Read Write - Average Latencywebp: Defaultncnn: CPU-v2-v2 - mobilenet-v2influxdb: 64 - 10000 - 2,5000,1 - 10000pgbench: 1 - 50 - Read Writetnn: CPU - MobileNet v2webp: Quality 100, Highest Compressiontnn: CPU - SqueezeNet v1.1ncnn: CPU - resnet50ncnn: CPU - vgg16opencv: DNN - Deep Neural Networkpgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writeespeak: Text-To-Speech Synthesis11a2385.79039639.22780416.47793015.55283929.04017831.7020.3162.80842.3521.8368.50636.163120604371.70867386922.0717515220.4531.421167781.7137.96312.715.538.161563570.6400.275968924.11490801.67815699918.3731.82181719146.0415.570.5631.4391738021778034.6720.2450.31968516.1214.502.79942.23769.8141.8416.261071919.0716312.3778.495295.80327.9052.08464325.639976211.5127.737646536.15511558589.768728388.51264483592.0717190540.28081916.66194220.2830.811146158.8135.62315.75072612.675.518.0828.9599101545840.6470.278978842.81477641.69315578418.3731.63180335145.3355.610.5671.4491726131766034.6420.2990.32168816.2114.582.81442.13670.1701.8336.271076934.1713313.5788.504296.24327.8652.04548955.504642512.0109.166589136.09312464389.787642378.18666284142.0017783839.86994416.89054620.731.3215.78927012.525.458.0529.3008491547770.6460.2761477561.69315564918.5231.57181034146.3855.610.5661.4471728761768194.6420.3740.32168416.1414.532.80542.33570.1431.8326.29713312.6598.482296.55127.8552.10488234.072824811.8967.678651636.583OpenBenchmarking.org

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object Detection1a2330K60K90K120K150KSE +/- 1726.12, N = 12SE +/- 1748.09, N = 3SE +/- 967.76, N = 31206041155851246431. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object Detection1a2320K40K60K80K100KMin: 111874 / Avg: 120603.67 / Max: 131158Min: 112963 / Avg: 115585.33 / Max: 118899Min: 123473 / Avg: 124642.67 / Max: 1265631. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations12320406080100SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 385.7989.7789.791. (CC) gcc options: -lm
OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations12320406080100Min: 85.62 / Avg: 85.79 / Max: 86Min: 89.72 / Avg: 89.77 / Max: 89.82Min: 89.67 / Avg: 89.79 / Max: 89.851. (CC) gcc options: -lm

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency1a2380160240320400SE +/- 2.91, N = 3SE +/- 5.44, N = 3SE +/- 2.50, N = 3371.71388.51378.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency1a2370140210280350Min: 367.28 / Avg: 371.71 / Max: 377.2Min: 381.78 / Avg: 388.51 / Max: 399.29Min: 375.02 / Avg: 378.19 / Max: 383.121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write1a23150300450600750SE +/- 5.25, N = 3SE +/- 8.91, N = 3SE +/- 4.36, N = 36736446621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write1a23120240360480600Min: 663.12 / Avg: 673 / Max: 681.02Min: 626.44 / Avg: 644.07 / Max: 655.2Min: 652.9 / Avg: 661.51 / Max: 6671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write1a232K4K6K8K10KSE +/- 9.24, N = 3SE +/- 120.26, N = 15SE +/- 88.28, N = 38692835984141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write1a2315003000450060007500Min: 8673.62 / Avg: 8691.73 / Max: 8703.95Min: 7129.1 / Avg: 8358.56 / Max: 8807.58Min: 8261.98 / Avg: 8414.5 / Max: 8567.791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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 20200916Target: CPU - Model: blazeface1a230.46580.93161.39741.86322.329SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 32.072.072.00MIN: 1.99 / MAX: 2.28MIN: 1.99 / MAX: 3.07MIN: 1.98 / MAX: 2.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1a23246810Min: 2.01 / Avg: 2.07 / Max: 2.18Min: 2.01 / Avg: 2.07 / Max: 2.17Min: 2 / Avg: 2 / Max: 2.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Features 2D1a2340K80K120K160K200KSE +/- 2806.67, N = 12SE +/- 870.09, N = 3SE +/- 2266.12, N = 51751521719051778381. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Features 2D1a2330K60K90K120K150KMin: 159883 / Avg: 175152.17 / Max: 190156Min: 170838 / Avg: 171905 / Max: 173629Min: 172134 / Avg: 177838.4 / Max: 1858571. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs123918273645SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 339.2340.2839.871. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs123816243240Min: 38.93 / Avg: 39.23 / Max: 39.42Min: 40.08 / Avg: 40.28 / Max: 40.52Min: 39.81 / Avg: 39.87 / Max: 39.981. (CC) gcc options: -lm

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files12348121620SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.19, N = 316.4816.6616.891. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files12348121620Min: 16.42 / Avg: 16.48 / Max: 16.52Min: 16.58 / Avg: 16.66 / Max: 16.77Min: 16.52 / Avg: 16.89 / Max: 17.11. (CC) gcc options: -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 20200916Target: CPU - Model: mobilenet1a23510152025SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 320.4520.2820.70MIN: 20.11 / MAX: 21.79MIN: 20.1 / MAX: 21.56MIN: 20.11 / MAX: 21.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet1a23510152025Min: 20.22 / Avg: 20.45 / Max: 20.76Min: 20.19 / Avg: 20.28 / Max: 20.43Min: 20.2 / Avg: 20.67 / Max: 211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1a23714212835SE +/- 0.13, N = 3SE +/- 0.30, N = 3SE +/- 0.30, N = 331.4230.8131.32MIN: 30.62 / MAX: 41.78MIN: 30.25 / MAX: 32.63MIN: 30.51 / MAX: 46.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1a23714212835Min: 31.17 / Avg: 31.42 / Max: 31.62Min: 30.46 / Avg: 30.81 / Max: 31.41Min: 30.78 / Avg: 31.32 / Max: 31.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001a2300K600K900K1200K1500KSE +/- 8246.67, N = 3SE +/- 15196.59, N = 31167781.71146158.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001a2200K400K600K800K1000KMin: 1152643.3 / Avg: 1167781.7 / Max: 1181020.5Min: 1122325.9 / Avg: 1146158.83 / Max: 1174409.4

Apache CouchDB

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241a2306090120150SE +/- 1.69, N = 3SE +/- 2.13, N = 3137.96135.621. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241a2306090120150Min: 135.4 / Avg: 137.96 / Max: 141.15Min: 133.09 / Avg: 135.62 / Max: 139.861. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads12348121620SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 415.5515.7515.791. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads12348121620Min: 15.3 / Avg: 15.55 / Max: 15.85Min: 15.46 / Avg: 15.75 / Max: 15.97Min: 15.43 / Avg: 15.79 / Max: 16.331. (CC) gcc options: -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 20200916Target: CPU - Model: alexnet1a233691215SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 312.7112.6712.52MIN: 12.6 / MAX: 29.71MIN: 12.58 / MAX: 12.92MIN: 12.45 / MAX: 13.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1a2348121620Min: 12.64 / Avg: 12.71 / Max: 12.8Min: 12.62 / Avg: 12.67 / Max: 12.74Min: 12.5 / Avg: 12.52 / Max: 12.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1a231.24432.48863.73294.97726.2215SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 35.535.515.45MIN: 5.3 / MAX: 16.62MIN: 5.31 / MAX: 16.08MIN: 5.31 / MAX: 16.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1a23246810Min: 5.4 / Avg: 5.53 / Max: 5.71Min: 5.47 / Avg: 5.51 / Max: 5.56Min: 5.38 / Avg: 5.45 / Max: 5.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01a23246810SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 38.168.088.05MIN: 7.98 / MAX: 8.99MIN: 7.97 / MAX: 8.18MIN: 7.97 / MAX: 8.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01a233691215Min: 8.05 / Avg: 8.16 / Max: 8.36Min: 8.06 / Avg: 8.08 / Max: 8.11Min: 8.04 / Avg: 8.05 / Max: 8.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OSBench

OSBench is a collection of micro-benchmarks for measuring operating system primitives like time to create threads/processes, launching programs, creating files, and memory allocation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes123714212835SE +/- 0.28, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 329.0428.9629.301. (CC) gcc options: -lm
OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes123612182430Min: 28.63 / Avg: 29.04 / Max: 29.57Min: 28.91 / Avg: 28.96 / Max: 29.04Min: 28.95 / Avg: 29.3 / Max: 29.691. (CC) gcc options: -lm

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only1a2330K60K90K120K150KSE +/- 138.21, N = 3SE +/- 502.82, N = 3SE +/- 184.47, N = 31563571545841547771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only1a2330K60K90K120K150KMin: 156215.32 / Avg: 156356.66 / Max: 156633.05Min: 153673.33 / Avg: 154584.31 / Max: 155408.67Min: 154545.48 / Avg: 154776.89 / Max: 155141.441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency1a230.14560.29120.43680.58240.728SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.6400.6470.6461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency1a23246810Min: 0.64 / Avg: 0.64 / Max: 0.64Min: 0.64 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.651. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency1a230.06260.12520.18780.25040.313SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.2750.2780.2761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency1a2312345Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.28 / Avg: 0.28 / Max: 0.281. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001a2200K400K600K800K1000KSE +/- 13746.61, N = 3SE +/- 4918.77, N = 3968924.1978842.8
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001a2200K400K600K800K1000KMin: 941449.4 / Avg: 968924.07 / Max: 983536.1Min: 973126.6 / Avg: 978842.77 / Max: 988634.6

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only1a2330K60K90K120K150KSE +/- 151.13, N = 3SE +/- 253.88, N = 3SE +/- 132.26, N = 31490801477641477561. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only1a2330K60K90K120K150KMin: 148916.8 / Avg: 149079.96 / Max: 149381.9Min: 147406.78 / Avg: 147763.8 / Max: 148254.98Min: 147582.52 / Avg: 147755.54 / Max: 148015.331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency1a230.38090.76181.14271.52361.9045SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 31.6781.6931.6931. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency1a23246810Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 1.69 / Avg: 1.69 / Max: 1.7Min: 1.69 / Avg: 1.69 / Max: 1.71. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only1a2330K60K90K120K150KSE +/- 298.76, N = 3SE +/- 224.38, N = 3SE +/- 245.01, N = 31569991557841556491. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only1a2330K60K90K120K150KMin: 156427.61 / Avg: 156998.78 / Max: 157436.36Min: 155355.38 / Avg: 155783.94 / Max: 156113.54Min: 155220.94 / Avg: 155649.49 / Max: 156069.571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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 20200916Target: CPU - Model: squeezenet1a23510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 318.3718.3718.52MIN: 18.26 / MAX: 19.65MIN: 18.27 / MAX: 18.51MIN: 18.24 / MAX: 19.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet1a23510152025Min: 18.33 / Avg: 18.37 / Max: 18.4Min: 18.34 / Avg: 18.37 / Max: 18.41Min: 18.32 / Avg: 18.52 / Max: 18.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark11a23714212835SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 331.7031.8231.6331.571. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark11a23714212835Min: 31.59 / Avg: 31.7 / Max: 31.87Min: 31.81 / Avg: 31.82 / Max: 31.83Min: 31.57 / Avg: 31.63 / Max: 31.67Min: 31.5 / Avg: 31.57 / Max: 31.651. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only1a2340K80K120K160K200KSE +/- 60.02, N = 3SE +/- 267.45, N = 3SE +/- 529.20, N = 31817191803351810341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only1a2330K60K90K120K150KMin: 181635.88 / Avg: 181719.25 / Max: 181835.72Min: 179947.87 / Avg: 180335.22 / Max: 180848.37Min: 179997.83 / Avg: 181033.95 / Max: 181739.081. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency1a23306090120150SE +/- 0.25, N = 3SE +/- 0.24, N = 3SE +/- 1.19, N = 3146.04145.34146.391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency1a23306090120150Min: 145.79 / Avg: 146.04 / Max: 146.54Min: 144.86 / Avg: 145.34 / Max: 145.62Min: 144.94 / Avg: 146.39 / Max: 148.741. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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 20200916Target: CPU-v3-v3 - Model: mobilenet-v31a231.26232.52463.78695.04926.3115SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 35.575.615.61MIN: 5.42 / MAX: 17.73MIN: 5.42 / MAX: 15.95MIN: 5.41 / MAX: 17.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31a23246810Min: 5.48 / Avg: 5.57 / Max: 5.65Min: 5.61 / Avg: 5.61 / Max: 5.62Min: 5.58 / Avg: 5.61 / Max: 5.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency1a230.12760.25520.38280.51040.638SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5630.5670.5661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency1a23246810Min: 0.56 / Avg: 0.56 / Max: 0.56Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.57 / Avg: 0.57 / Max: 0.571. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency1a230.3260.6520.9781.3041.63SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.4391.4491.4471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency1a23246810Min: 1.44 / Avg: 1.44 / Max: 1.45Min: 1.45 / Avg: 1.45 / Max: 1.45Min: 1.44 / Avg: 1.45 / Max: 1.451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only1a2340K80K120K160K200KSE +/- 547.97, N = 3SE +/- 314.47, N = 3SE +/- 318.32, N = 31738021726131728761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only1a2330K60K90K120K150KMin: 172706.73 / Avg: 173801.58 / Max: 174391.29Min: 172019.66 / Avg: 172613.3 / Max: 173090.02Min: 172394.5 / Avg: 172876.22 / Max: 173477.561. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only1a2340K80K120K160K200KSE +/- 140.52, N = 3SE +/- 233.11, N = 3SE +/- 124.75, N = 31778031766031768191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only1a2330K60K90K120K150KMin: 177522.55 / Avg: 177802.78 / Max: 177961.25Min: 176163.86 / Avg: 176602.9 / Max: 176958.26Min: 176599.27 / Avg: 176818.91 / Max: 177031.221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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 20200916Target: CPU - Model: shufflenet-v21a231.05082.10163.15244.20325.254SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 34.674.644.64MIN: 4.4 / MAX: 34.9MIN: 4.41 / MAX: 14.67MIN: 4.4 / MAX: 14.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21a23246810Min: 4.5 / Avg: 4.67 / Max: 4.86Min: 4.62 / Avg: 4.64 / Max: 4.65Min: 4.62 / Avg: 4.64 / Max: 4.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless11a23510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 320.3220.2520.3020.371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless11a23510152025Min: 20.3 / Avg: 20.32 / Max: 20.36Min: 20.23 / Avg: 20.25 / Max: 20.26Min: 20.26 / Avg: 20.3 / Max: 20.33Min: 20.32 / Avg: 20.37 / Max: 20.471. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency1a230.07220.14440.21660.28880.361SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3190.3210.3211. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average Latency1a2312345Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.32 / Avg: 0.32 / Max: 0.321. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write1a23150300450600750SE +/- 1.20, N = 3SE +/- 1.12, N = 3SE +/- 5.48, N = 36856886841. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write1a23120240360480600Min: 682.73 / Avg: 685.14 / Max: 686.38Min: 687.14 / Avg: 688.48 / Max: 690.7Min: 672.76 / Avg: 683.64 / Max: 690.31. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -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 20200916Target: CPU - Model: googlenet1a2348121620SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 316.1216.2116.14MIN: 15.84 / MAX: 17.03MIN: 15.82 / MAX: 22.9MIN: 15.85 / MAX: 17.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet1a2348121620Min: 16.06 / Avg: 16.12 / Max: 16.17Min: 16.14 / Avg: 16.21 / Max: 16.26Min: 16.03 / Avg: 16.14 / Max: 16.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet181a2348121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 314.5014.5814.53MIN: 14.34 / MAX: 15.37MIN: 14.4 / MAX: 28.46MIN: 14.37 / MAX: 15.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet181a2348121620Min: 14.47 / Avg: 14.5 / Max: 14.52Min: 14.55 / Avg: 14.58 / Max: 14.64Min: 14.5 / Avg: 14.53 / Max: 14.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 10011a230.63321.26641.89962.53283.166SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 32.8082.7992.8142.8051. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 10011a23246810Min: 2.8 / Avg: 2.81 / Max: 2.82Min: 2.8 / Avg: 2.8 / Max: 2.8Min: 2.81 / Avg: 2.81 / Max: 2.83Min: 2.8 / Avg: 2.81 / Max: 2.811. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression11a231020304050SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 342.3542.2442.1442.341. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest Compression11a23918273645Min: 42.29 / Avg: 42.35 / Max: 42.4Min: 42.16 / Avg: 42.24 / Max: 42.37Min: 41.94 / Avg: 42.14 / Max: 42.26Min: 42.24 / Avg: 42.34 / Max: 42.461. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency1a231632486480SE +/- 0.19, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 369.8170.1770.141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency1a231428425670Min: 69.54 / Avg: 69.81 / Max: 70.17Min: 69.82 / Avg: 70.17 / Max: 70.77Min: 69.97 / Avg: 70.14 / Max: 70.241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default11a230.41420.82841.24261.65682.071SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 31.8361.8411.8331.8321. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default11a23246810Min: 1.83 / Avg: 1.84 / Max: 1.84Min: 1.84 / Avg: 1.84 / Max: 1.85Min: 1.83 / Avg: 1.83 / Max: 1.84Min: 1.83 / Avg: 1.83 / Max: 1.831. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 20200916Target: CPU-v2-v2 - Model: mobilenet-v21a23246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.266.276.29MIN: 6.07 / MAX: 18.36MIN: 6.07 / MAX: 17.88MIN: 6.05 / MAX: 18.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21a233691215Min: 6.18 / Avg: 6.26 / Max: 6.33Min: 6.25 / Avg: 6.27 / Max: 6.3Min: 6.28 / Avg: 6.29 / Max: 6.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001a2200K400K600K800K1000KSE +/- 9865.51, N = 3SE +/- 11307.31, N = 31071919.01076934.1
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 100001a2200K400K600K800K1000KMin: 1061142.5 / Avg: 1071919.03 / Max: 1091621.1Min: 1054343 / Avg: 1076934.13 / Max: 1089122.2

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write1a23150300450600750SE +/- 1.91, N = 3SE +/- 3.06, N = 3SE +/- 0.89, N = 37167137131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write1a23130260390520650Min: 712.75 / Avg: 716.42 / Max: 719.19Min: 706.7 / Avg: 712.8 / Max: 716.34Min: 712.1 / Avg: 713.05 / Max: 714.831. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 0.2.3Target: CPU - Model: MobileNet v21a2370140210280350SE +/- 0.57, N = 3SE +/- 1.09, N = 3SE +/- 0.33, N = 3312.38313.58312.66MIN: 309.93 / MAX: 350.13MIN: 310.96 / MAX: 357.19MIN: 309.48 / MAX: 355.181. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21a2360120180240300Min: 311.56 / Avg: 312.38 / Max: 313.47Min: 312.24 / Avg: 313.58 / Max: 315.74Min: 312.03 / Avg: 312.66 / Max: 313.151. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression11a23246810SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.005, N = 38.5068.4958.5048.4821. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest Compression11a233691215Min: 8.49 / Avg: 8.51 / Max: 8.52Min: 8.49 / Avg: 8.49 / Max: 8.51Min: 8.49 / Avg: 8.5 / Max: 8.53Min: 8.47 / Avg: 8.48 / Max: 8.491. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 0.2.3Target: CPU - Model: SqueezeNet v1.11a2360120180240300SE +/- 1.13, N = 3SE +/- 0.18, N = 3SE +/- 0.75, N = 3295.80296.24296.55MIN: 293.24 / MAX: 298.05MIN: 295.58 / MAX: 297.47MIN: 294.74 / MAX: 298.31. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11a2350100150200250Min: 293.56 / Avg: 295.8 / Max: 297.21Min: 295.89 / Avg: 296.24 / Max: 296.43Min: 295.05 / Avg: 296.55 / Max: 297.381. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -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 20200916Target: CPU - Model: resnet501a23714212835SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 327.9027.8627.85MIN: 27.41 / MAX: 28.12MIN: 27.27 / MAX: 42.45MIN: 27.29 / MAX: 36.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501a23612182430Min: 27.85 / Avg: 27.9 / Max: 27.96Min: 27.79 / Avg: 27.86 / Max: 27.92Min: 27.76 / Avg: 27.85 / Max: 27.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161a231224364860SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 352.0852.0452.10MIN: 51.61 / MAX: 55.12MIN: 51.72 / MAX: 61.06MIN: 51.65 / MAX: 64.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161a231020304050Min: 51.9 / Avg: 52.08 / Max: 52.28Min: 51.93 / Avg: 52.04 / Max: 52.19Min: 51.96 / Avg: 52.1 / Max: 52.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1a2312002400360048006000SE +/- 142.61, N = 15SE +/- 268.74, N = 12SE +/- 218.65, N = 124643548948821. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt
OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Network1a2310002000300040005000Min: 3546 / Avg: 4642.93 / Max: 5335Min: 4217 / Avg: 5488.92 / Max: 7099Min: 3782 / Avg: 4881.92 / Max: 60221. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency1a231224364860SE +/- 0.33, N = 4SE +/- 10.35, N = 15SE +/- 4.80, N = 1225.6455.5034.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency1a231122334455Min: 24.95 / Avg: 25.64 / Max: 26.55Min: 25.69 / Avg: 55.5 / Max: 152.92Min: 25.13 / Avg: 34.07 / Max: 83.221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write1a232K4K6K8K10KSE +/- 125.16, N = 4SE +/- 798.64, N = 15SE +/- 616.72, N = 129762642582481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write1a232K4K6K8K10KMin: 9424.57 / Avg: 9761.89 / Max: 10024.08Min: 1635.89 / Avg: 6425.4 / Max: 9735.14Min: 3005 / Avg: 8247.95 / Max: 9955.131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency1a233691215SE +/- 0.01, N = 3SE +/- 0.19, N = 15SE +/- 0.12, N = 311.5112.0111.901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency1a233691215Min: 11.5 / Avg: 11.51 / Max: 11.54Min: 11.36 / Avg: 12.01 / Max: 14.04Min: 11.68 / Avg: 11.9 / Max: 12.111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency1a233691215SE +/- 0.030, N = 3SE +/- 0.826, N = 15SE +/- 0.094, N = 37.7379.1667.6781. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average Latency1a233691215Min: 7.68 / Avg: 7.74 / Max: 7.77Min: 7.36 / Avg: 9.17 / Max: 16.86Min: 7.49 / Avg: 7.68 / Max: 7.771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write1a2314002800420056007000SE +/- 24.99, N = 3SE +/- 346.99, N = 15SE +/- 80.65, N = 36465589165161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write1a2311002200330044005500Min: 6436.89 / Avg: 6464.68 / Max: 6514.55Min: 2965.85 / Avg: 5891.35 / Max: 6796.84Min: 6433.61 / Avg: 6515.94 / Max: 6677.221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis11a23816243240SE +/- 0.49, N = 4SE +/- 0.45, N = 5SE +/- 0.34, N = 20SE +/- 0.71, N = 1636.1636.1636.0936.581. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis11a23816243240Min: 34.99 / Avg: 36.16 / Max: 37.32Min: 35.34 / Avg: 36.16 / Max: 37.8Min: 35.14 / Avg: 36.09 / Max: 39.2Min: 35.15 / Avg: 36.58 / Max: 46.151. (CC) gcc options: -O2 -std=c99

1

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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0x43
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + 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: Not affected + tsx_async_abort: Not affected

Testing initiated at 25 September 2020 14:45 by user phoronix.

1a

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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0x43
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + 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: Not affected + tsx_async_abort: Not affected

Testing initiated at 25 September 2020 15:13 by user phoronix.

2

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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0x43
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + 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: Not affected + tsx_async_abort: Not affected

Testing initiated at 25 September 2020 18:01 by user phoronix.

3

Processor: Intel Xeon E5-1680 v3 @ 3.80GHz (8 Cores / 16 Threads), Motherboard: ASUS X99-A (3902 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 16GB, Disk: PNY CS900 240GB, Graphics: eVGA NVIDIA NVE7 1GB, Audio: Realtek ALC1150, Monitor: G237HL, Network: Intel I218-V

OS: Ubuntu 20.04, Kernel: 5.4.0-47-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.8, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: 0x43
Security Notes: itlb_multihit: KVM: Vulnerable + l1tf: Mitigation of PTE Inversion + 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: Not affected + tsx_async_abort: Not affected

Testing initiated at 25 September 2020 20:18 by user phoronix.