1280p tf

Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 14GB on Ubuntu 22.10 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 2210085-NE-1280PTF6300
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A
October 07 2022
  2 Hours, 30 Minutes
B
October 07 2022
  2 Hours, 29 Minutes
C
October 07 2022
  2 Hours, 28 Minutes
D
October 07 2022
  2 Hours, 29 Minutes
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1280p tfOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads)MSI MS-14C6 (E14C6IMS.115 BIOS)Intel Alder Lake PCH16GB1024GB Micron_3400_MTFDKBA1T0TFHMSI Intel ADL GT2 14GB (1450MHz)Realtek ALC274Intel Alder Lake-P PCH CNVi WiFiUbuntu 22.105.15.0-27-generic (x86_64)GNOME ShellX Server + Wayland4.6 Mesa 22.1.71.3.211GCC 12.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution1280p Tf BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-gcn/usr --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 - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x421 - Thermald 2.5.0 - Python 3.10.6- 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ABCDResult OverviewPhoronix Test Suite100%112%123%135%TensorFlowTensorFlowSMHasherTensorFlowTensorFlowTensorFlowTensorFlowSMHasherTensorFlowTensorFlowSMHasherSMHasherTensorFlowTensorFlowSMHasherTensorFlowTensorFlowTensorFlowTensorFlowSMHasherTensorFlowTensorFlowSMHasherSMHasherSMHasherSMHasherSMHasherSMHasherSMHasherSMHasherSMHasherSMHasherSMHasherSMHasherCPU - 16 - AlexNetCPU - 32 - AlexNett.xCPU - 256 - GoogLeNetCPU - 256 - AlexNetCPU - 64 - GoogLeNetCPU - 64 - ResNet-50t1ha2_atonceCPU - 64 - AlexNetCPU - 512 - AlexNetF.x.ASHA3-256CPU - 512 - GoogLeNetCPU - 64 - VGG-16M.x.A.NCPU - 32 - GoogLeNetCPU - 16 - GoogLeNetCPU - 16 - ResNet-50CPU - 32 - ResNet-50wyhashCPU - 16 - VGG-16CPU - 32 - VGG-16FarmHash128Spooky32fasthash32wyhashSHA3-256Spooky32fasthash32FarmHash128t1ha2_atonceF.x.At.xM.x.A.N

1280p tfsmhasher: wyhashsmhasher: wyhashsmhasher: SHA3-256smhasher: SHA3-256smhasher: Spooky32smhasher: Spooky32smhasher: fasthash32smhasher: fasthash32smhasher: FarmHash128smhasher: FarmHash128smhasher: t1ha2_atoncesmhasher: t1ha2_atoncesmhasher: FarmHash32 x86_64 AVXsmhasher: FarmHash32 x86_64 AVXsmhasher: t1ha0_aes_avx2 x86_64smhasher: t1ha0_aes_avx2 x86_64smhasher: MeowHash x86_64 AES-NIsmhasher: MeowHash x86_64 AES-NItensorflow: CPU - 16 - VGG-16tensorflow: CPU - 32 - VGG-16tensorflow: CPU - 64 - VGG-16tensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 512 - ResNet-50ABCD40938.0412.733325.881203.14925362.4923.6210861.0819.55627510.7227.3630977.3617.57339148.5823.0194329.6917.60164054.4337.4843.593.653.6873.8584.3689.7993.7498.6837.5812.8137.0513.2738.213.5339.7440.2940858.0912.732326.061203.73325371.3923.63510861.0819.55427465.4227.35930756.717.57238656.0123.008103057.8117.60163986.8337.4843.583.643.773.6284.3788.7192.7897.0537.6312.837.0713.2838.2813.0439.364040937.1512.732322.591204.00325353.1523.65410861.0919.55527485.727.36130057.9717.59138617.1723.07590812.6717.664507.9237.4843.583.653.6973.3184.2488.9189.7197.4337.7312.8237.0613.2336.7613.2238.9939.9440805.1812.732326.171202.7725358.523.6510861.0619.55427494.7427.35630886.7117.56638548.2823.03102286.4717.60163986.7837.4843.583.643.6750.2769.4790.2692.897.5237.6812.8537.213.2738.1513.537.2440.02OpenBenchmarking.org

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: wyhashABCD9K18K27K36K45K40938.0440858.0940937.1540805.181. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: SHA3-256ABCD70140210280350325.88326.06322.59326.171. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: Spooky32ABCD5K10K15K20K25K25362.4925371.3925353.1525358.501. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: fasthash32ABCD2K4K6K8K10K10861.0810861.0810861.0910861.061. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash128ABCD6K12K18K24K30K27510.7227465.4227485.7027494.741. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha2_atonceABCD7K14K21K28K35K30977.3630756.7030057.9730886.711. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXABCD8K16K24K32K40K39148.5838656.0138617.1738548.281. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_64ABCD20K40K60K80K100K94329.69103057.8190812.67102286.471. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NIABCD14K28K42K56K70K64054.4363986.8364507.9263986.781. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: VGG-16ABCD0.80781.61562.42343.23124.0393.593.583.583.58

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: VGG-16ABCD0.82131.64262.46393.28524.10653.653.643.653.64

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: VGG-16ABCD0.83251.6652.49753.334.16253.683.703.693.67

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetABCD163248648073.8573.6273.3150.27

Device: CPU - Batch Size: 256 - Model: VGG-16

A: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

B: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

C: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

D: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetABCD2040608010084.3684.3784.2469.47

Device: CPU - Batch Size: 512 - Model: VGG-16

A: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

B: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

C: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

D: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetABCD2040608010089.7988.7188.9190.26

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetABCD2040608010093.7492.7889.7192.80

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNetABCD2040608010098.6897.0597.4397.52

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetABCD91827364537.5837.6337.7337.68

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50ABCD369121512.8112.8012.8212.85

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetABCD91827364537.0537.0737.0637.20

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50ABCD369121513.2713.2813.2313.27

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetABCD91827364538.2038.2836.7638.15

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50ABCD369121513.5313.0413.2213.50

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetABCD91827364539.7439.3638.9937.24

Device: CPU - Batch Size: 256 - Model: ResNet-50

A: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

B: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

C: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

D: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNetABCD91827364540.2940.0039.9440.02

Device: CPU - Batch Size: 512 - Model: ResNet-50

A: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

B: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

C: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault

D: The test quit with a non-zero exit status. E: Fatal Python error: Segmentation fault