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&rro.

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: 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

Hash: wyhash

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: wyhashDCBA9K18K27K36K45K40805.1840937.1540858.0940938.041. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: wyhash

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: wyhashDCBA369121512.7312.7312.7312.731. (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: SHA3-256DCBA70140210280350326.17322.59326.06325.881. (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: SHA3-256DCBA300600900120015001202.771204.001203.731203.151. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: Spooky32

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: Spooky32DCBA5K10K15K20K25K25358.5025353.1525371.3925362.491. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: Spooky32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: Spooky32DCBA61218243023.6523.6523.6423.621. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: fasthash32

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: fasthash32DCBA2K4K6K8K10K10861.0610861.0910861.0810861.081. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: fasthash32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: fasthash32DCBA51015202519.5519.5619.5519.561. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: FarmHash128

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash128DCBA6K12K18K24K30K27494.7427485.7027465.4227510.721. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: FarmHash128

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash128DCBA61218243027.3627.3627.3627.361. (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_atonceDCBA7K14K21K28K35K30886.7130057.9730756.7030977.361. (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_atonceDCBA4812162017.5717.5917.5717.571. (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 AVXDCBA8K16K24K32K40K38548.2838617.1738656.0139148.581. (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 AVXDCBA61218243023.0323.0823.0123.011. (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_64DCBA20K40K60K80K100K102286.4790812.67103057.8194329.691. (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_64DCBA4812162017.6017.6017.6017.601. (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-NIDCBA14K28K42K56K70K63986.7864507.9263986.8364054.431. (CXX) g++ options: -march=native -O3 -flto=auto -fno-fat-lto-objects

SMHasher

Hash: MeowHash x86_64 AES-NI

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TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: VGG-16DCBA0.80781.61562.42343.23124.0393.583.583.583.59

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: VGG-16DCBA0.82131.64262.46393.28524.10653.643.653.643.65

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: VGG-16DCBA0.83251.6652.49753.334.16253.673.693.703.68

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetDCBA163248648050.2773.3173.6273.85

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetDCBA2040608010069.4784.2484.3784.36

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetDCBA2040608010090.2688.9188.7189.79

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetDCBA2040608010092.8089.7192.7893.74

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNetDCBA2040608010097.5297.4397.0598.68

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetDCBA91827364537.6837.7337.6337.58

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50DCBA369121512.8512.8212.8012.81

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetDCBA91827364537.2037.0637.0737.05

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50DCBA369121513.2713.2313.2813.27

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetDCBA91827364538.1536.7638.2838.20

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50DCBA369121513.5013.2213.0413.53

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetDCBA91827364537.2438.9939.3639.74

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNetDCBA91827364540.0239.9440.0040.29

Phoronix Test Suite v10.8.5