Ryzen 7 3700X Weekend

AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 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 2009265-FI-RYZEN737092
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Ryzen 7 3700X WeekendProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100HIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.8.1-050801-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%103%107%110%InfluxDBApache CouchDBTNNNCNNMPVGROMACS

Ryzen 7 3700X Weekendmpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlycouchdb: 100 - 1000 - 24gromacs: Water Benchmarkncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000123658.401349.7195.1740.78117.8419.176.275.464.575.187.891.8317.6773.0018.0517.1332.6830.36254.092241.4171130915.71394475.81423928.0654.761349.3193.4570.77817.8119.176.305.474.605.197.891.8517.8272.9618.1617.1032.8130.19252.747241.0881118586.11344835.41420417.8651.631351.4992.2050.77817.6918.866.265.474.595.167.881.8217.5672.9218.0717.0933.0630.19252.619240.4011029598.91221190.31223883.7OpenBenchmarking.org

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only123140280420560700SE +/- 0.14, N = 3SE +/- 1.47, N = 3SE +/- 0.58, N = 3658.40654.76651.63MIN: 428.57 / MAX: 750.01MIN: 428.57 / MAX: 750MIN: 428.56 / MAX: 749.991. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software Only123120240360480600Min: 658.2 / Avg: 658.4 / Max: 658.67Min: 652.9 / Avg: 654.76 / Max: 657.65Min: 650.87 / Avg: 651.63 / Max: 652.771. mpv 0.32.0

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only12330060090012001500SE +/- 3.08, N = 3SE +/- 0.77, N = 3SE +/- 1.23, N = 31349.711349.311351.49MIN: 999.97 / MAX: 1500.02MIN: 999.99 / MAX: 1500.02MIN: 999.98 / MAX: 1499.991. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only1232004006008001000Min: 1343.66 / Avg: 1349.71 / Max: 1353.69Min: 1348.28 / Avg: 1349.31 / Max: 1350.82Min: 1349.19 / Avg: 1351.49 / Max: 1353.411. mpv 0.32.0

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2412320406080100SE +/- 1.38, N = 4SE +/- 1.37, N = 3SE +/- 1.06, N = 395.1793.4692.211. (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: 2412320406080100Min: 93.44 / Avg: 95.17 / Max: 99.28Min: 91.15 / Avg: 93.46 / Max: 95.9Min: 90.74 / Avg: 92.21 / Max: 94.261. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.17570.35140.52710.70280.8785SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.7810.7780.7781. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.78 / Avg: 0.78 / Max: 0.781. (CXX) g++ options: -O3 -pthread -lrt -lpthread -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: squeezenet12348121620SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 317.8417.8117.69MIN: 17.64 / MAX: 20.84MIN: 17.53 / MAX: 19.56MIN: 17.42 / MAX: 19.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123510152025Min: 17.8 / Avg: 17.84 / Max: 17.89Min: 17.66 / Avg: 17.81 / Max: 17.89Min: 17.54 / Avg: 17.69 / Max: 17.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 319.1719.1718.86MIN: 18.89 / MAX: 20.31MIN: 18.67 / MAX: 20.43MIN: 18.4 / MAX: 19.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123510152025Min: 19.07 / Avg: 19.17 / Max: 19.29Min: 18.94 / Avg: 19.17 / Max: 19.3Min: 18.61 / Avg: 18.86 / Max: 19.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2123246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.276.306.26MIN: 6.15 / MAX: 11.12MIN: 6.2 / MAX: 7.71MIN: 6.16 / MAX: 7.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 6.23 / Avg: 6.27 / Max: 6.3Min: 6.25 / Avg: 6.3 / Max: 6.32Min: 6.24 / Avg: 6.26 / Max: 6.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31231.23082.46163.69244.92326.154SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.465.475.47MIN: 5.34 / MAX: 6.47MIN: 5.33 / MAX: 6.91MIN: 5.37 / MAX: 7.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3123246810Min: 5.44 / Avg: 5.46 / Max: 5.47Min: 5.44 / Avg: 5.47 / Max: 5.51Min: 5.46 / Avg: 5.47 / Max: 5.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21231.0352.073.1054.145.175SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 34.574.604.59MIN: 4.5 / MAX: 5.75MIN: 4.46 / MAX: 32.19MIN: 4.52 / MAX: 6.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810Min: 4.55 / Avg: 4.57 / Max: 4.58Min: 4.56 / Avg: 4.6 / Max: 4.67Min: 4.57 / Avg: 4.59 / Max: 4.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1231.16782.33563.50344.67125.839SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.185.195.16MIN: 5.08 / MAX: 9.1MIN: 5.12 / MAX: 6.02MIN: 5.09 / MAX: 6.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810Min: 5.16 / Avg: 5.18 / Max: 5.19Min: 5.18 / Avg: 5.19 / Max: 5.2Min: 5.14 / Avg: 5.16 / Max: 5.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.897.897.88MIN: 7.81 / MAX: 8.54MIN: 7.8 / MAX: 10.36MIN: 7.8 / MAX: 8.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01233691215Min: 7.88 / Avg: 7.89 / Max: 7.92Min: 7.88 / Avg: 7.89 / Max: 7.9Min: 7.87 / Avg: 7.88 / Max: 7.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.41630.83261.24891.66522.0815SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 31.831.851.82MIN: 1.79 / MAX: 1.96MIN: 1.8 / MAX: 1.97MIN: 1.72 / MAX: 2.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 1.82 / Avg: 1.83 / Max: 1.84Min: 1.84 / Avg: 1.85 / Max: 1.85Min: 1.75 / Avg: 1.82 / Max: 1.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 317.6717.8217.56MIN: 17.49 / MAX: 19.11MIN: 17.53 / MAX: 18.23MIN: 17.22 / MAX: 18.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123510152025Min: 17.64 / Avg: 17.67 / Max: 17.69Min: 17.68 / Avg: 17.82 / Max: 17.91Min: 17.34 / Avg: 17.56 / Max: 17.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231632486480SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 373.0072.9672.92MIN: 72.59 / MAX: 92.36MIN: 72.65 / MAX: 77.96MIN: 72.48 / MAX: 78.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231428425670Min: 72.95 / Avg: 73 / Max: 73.09Min: 72.93 / Avg: 72.96 / Max: 72.97Min: 72.78 / Avg: 72.92 / Max: 73.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 318.0518.1618.07MIN: 17.93 / MAX: 18.86MIN: 17.93 / MAX: 19.61MIN: 17.8 / MAX: 20.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123510152025Min: 18.02 / Avg: 18.05 / Max: 18.08Min: 18.02 / Avg: 18.16 / Max: 18.25Min: 17.89 / Avg: 18.07 / Max: 18.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 317.1317.1017.09MIN: 17.04 / MAX: 22.96MIN: 17.02 / MAX: 17.98MIN: 16.98 / MAX: 17.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet12348121620Min: 17.12 / Avg: 17.13 / Max: 17.15Min: 17.08 / Avg: 17.1 / Max: 17.13Min: 17.04 / Avg: 17.09 / Max: 17.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123816243240SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.03, N = 332.6832.8133.06MIN: 32.22 / MAX: 34.45MIN: 32.04 / MAX: 43.76MIN: 32.41 / MAX: 58.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123714212835Min: 32.38 / Avg: 32.68 / Max: 33.08Min: 32.24 / Avg: 32.81 / Max: 33.17Min: 32.99 / Avg: 33.06 / Max: 33.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 330.3630.1930.19MIN: 30.11 / MAX: 41.73MIN: 29.9 / MAX: 32.72MIN: 29.92 / MAX: 31.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835Min: 30.25 / Avg: 30.36 / Max: 30.43Min: 30.02 / Avg: 30.19 / Max: 30.29Min: 30.08 / Avg: 30.19 / Max: 30.321. (CXX) g++ options: -O3 -rdynamic -lgomp -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 0.2.3Target: CPU - Model: MobileNet v212360120180240300SE +/- 0.80, N = 3SE +/- 0.32, N = 3SE +/- 1.08, N = 3254.09252.75252.62MIN: 251.46 / MAX: 269.09MIN: 249.39 / MAX: 268.74MIN: 250.18 / MAX: 258.761. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212350100150200250Min: 252.5 / Avg: 254.09 / Max: 254.97Min: 252.31 / Avg: 252.75 / Max: 253.36Min: 250.98 / Avg: 252.62 / Max: 254.661. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112350100150200250SE +/- 0.99, N = 3SE +/- 0.27, N = 3SE +/- 0.37, N = 3241.42241.09240.40MIN: 237.54 / MAX: 243.97MIN: 237.41 / MAX: 242.47MIN: 236.75 / MAX: 249.61. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.11234080120160200Min: 240.07 / Avg: 241.42 / Max: 243.36Min: 240.69 / Avg: 241.09 / Max: 241.59Min: 239.73 / Avg: 240.4 / Max: 2411. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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: 10000123200K400K600K800K1000KSE +/- 8904.21, N = 3SE +/- 30220.13, N = 12SE +/- 26546.57, N = 121130915.71118586.11029598.9
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1121125.7 / Avg: 1130915.7 / Max: 1148693.7Min: 970418 / Avg: 1118586.13 / Max: 1222912.8Min: 918140.8 / Avg: 1029598.88 / Max: 1190835

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 7543.38, N = 3SE +/- 14684.19, N = 3SE +/- 16408.18, N = 31394475.81344835.41221190.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1379786.2 / Avg: 1394475.8 / Max: 1404798.8Min: 1320642.6 / Avg: 1344835.4 / Max: 1371350.8Min: 1193175.2 / Avg: 1221190.27 / Max: 1249998.2

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123300K600K900K1200K1500KSE +/- 4980.53, N = 3SE +/- 6798.73, N = 3SE +/- 107076.93, N = 151423928.01420417.81223883.7
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000123200K400K600K800K1000KMin: 1414381.1 / Avg: 1423927.97 / Max: 1431163.1Min: 1412898.4 / Avg: 1420417.77 / Max: 1433988.8Min: 229087 / Avg: 1223883.67 / Max: 1459053.9