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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  Test
  Duration
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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  2 Hours, 29 Minutes

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1280p tf, "SMHasher 2022-08-22 - Hash: wyhash", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: wyhash", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: SHA3-256", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: SHA3-256", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: Spooky32", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: Spooky32", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: fasthash32", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: fasthash32", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: FarmHash128", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: FarmHash128", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: t1ha2_atonce", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: t1ha2_atonce", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: FarmHash32 x86_64 AVX", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: FarmHash32 x86_64 AVX", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: t1ha0_aes_avx2 x86_64", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: t1ha0_aes_avx2 x86_64", Lower Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: MeowHash x86_64 AES-NI", Higher Results Are Better "A", "B", "C", "D", "SMHasher 2022-08-22 - Hash: MeowHash x86_64 AES-NI", Lower Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 16 - Model: VGG-16", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 32 - Model: VGG-16", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 64 - Model: VGG-16", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 16 - Model: AlexNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: VGG-16", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 32 - Model: AlexNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 512 - Model: VGG-16", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 64 - Model: AlexNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: AlexNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 512 - Model: AlexNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 16 - Model: GoogLeNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 16 - Model: ResNet-50", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 32 - Model: GoogLeNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 32 - Model: ResNet-50", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 64 - Model: GoogLeNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 64 - Model: ResNet-50", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: GoogLeNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 256 - Model: ResNet-50", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 512 - Model: GoogLeNet", Higher Results Are Better "A", "B", "C", "D", "TensorFlow 2.10 - Device: CPU - Batch Size: 512 - Model: ResNet-50", Higher Results Are Better "A", "B", "C", "D",