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.

HTML result view exported from: https://openbenchmarking.org/result/2210085-NE-1280PTF6300&rdt&grw.

1280p tfProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCDIntel 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 12.2.0ext41920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x421 - Thermald 2.5.0 Python Details- Python 3.10.6Security 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

1280p tfsmhasher: wyhashsmhasher: SHA3-256smhasher: Spooky32smhasher: fasthash32smhasher: FarmHash128smhasher: t1ha2_atoncesmhasher: FarmHash32 x86_64 AVXsmhasher: t1ha0_aes_avx2 x86_64smhasher: 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 - GoogLeNetsmhasher: wyhashsmhasher: SHA3-256smhasher: Spooky32smhasher: fasthash32smhasher: FarmHash128smhasher: t1ha2_atoncesmhasher: FarmHash32 x86_64 AVXsmhasher: t1ha0_aes_avx2 x86_64smhasher: MeowHash x86_64 AES-NIABCD40938.04325.8825362.4910861.0827510.7230977.3639148.5894329.6964054.433.593.653.6873.8584.3689.7993.7498.6837.5812.8137.0513.2738.213.5339.7440.2912.7331203.14923.6219.55627.3617.57323.0117.60137.48440858.09326.0625371.3910861.0827465.4230756.738656.01103057.8163986.833.583.643.773.6284.3788.7192.7897.0537.6312.837.0713.2838.2813.0439.364012.7321203.73323.63519.55427.35917.57223.00817.60137.48440937.15322.5925353.1510861.0927485.730057.9738617.1790812.6764507.923.583.653.6973.3184.2488.9189.7197.4337.7312.8237.0613.2336.7613.2238.9939.9412.7321204.00323.65419.55527.36117.59123.07517.637.48440805.18326.1725358.510861.0627494.7430886.7138548.28102286.4763986.783.583.643.6750.2769.4790.2692.897.5237.6812.8537.213.2738.1513.537.2440.0212.7321202.7723.6519.55427.35617.56623.0317.60137.484OpenBenchmarking.org

SMHasher

Hash: wyhash

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

SMHasher

Hash: SHA3-256

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

SMHasher

Hash: Spooky32

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

SMHasher

Hash: fasthash32

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

SMHasher

Hash: FarmHash128

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

SMHasher

Hash: t1ha2_atonce

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

SMHasher

Hash: FarmHash32 x86_64 AVX

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

SMHasher

Hash: t1ha0_aes_avx2 x86_64

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

SMHasher

Hash: MeowHash x86_64 AES-NI

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

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

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: VGG-16

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

TensorFlow

Device: CPU - Batch Size: 64 - Model: VGG-16

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 64 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 256 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 512 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

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

TensorFlow

Device: CPU - Batch Size: 64 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 64 - Model: ResNet-50

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

TensorFlow

Device: CPU - Batch Size: 256 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 512 - Model: GoogLeNet

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

SMHasher

Hash: wyhash

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: wyhashABCD369121512.7312.7312.7312.731. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: SHA3-256

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: SHA3-256ABCD300600900120015001203.151203.731204.001202.771. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: Spooky32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: Spooky32ABCD61218243023.6223.6423.6523.651. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: fasthash32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: fasthash32ABCD51015202519.5619.5519.5619.551. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: FarmHash128

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash128ABCD61218243027.3627.3627.3627.361. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: t1ha2_atonce

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: t1ha2_atonceABCD4812162017.5717.5717.5917.571. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: FarmHash32 x86_64 AVX

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXABCD61218243023.0123.0123.0823.031. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: t1ha0_aes_avx2 x86_64

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_64ABCD4812162017.6017.6017.6017.601. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: MeowHash x86_64 AES-NI

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NIABCD91827364537.4837.4837.4837.481. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

Phoronix Test Suite v10.8.5