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.

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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 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. A: Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 14GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 22.10, Kernel: 5.15.0-27-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.7, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 B: Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 14GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 22.10, Kernel: 5.15.0-27-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.7, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 C: Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 14GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 22.10, Kernel: 5.15.0-27-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.7, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 D: Processor: Intel Core i7-1280P @ 4.80GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 14GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi OS: Ubuntu 22.10, Kernel: 5.15.0-27-generic (x86_64), Desktop: GNOME Shell, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.7, Vulkan: 1.3.211, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080 SMHasher 2022-08-22 Hash: wyhash MiB/sec > Higher Is Better A . 40938.04 |================================================================= B . 40858.09 |================================================================= C . 40937.15 |================================================================= D . 40805.18 |================================================================= SMHasher 2022-08-22 Hash: wyhash cycles/hash < Lower Is Better A . 12.73 |==================================================================== B . 12.73 |==================================================================== C . 12.73 |==================================================================== D . 12.73 |==================================================================== SMHasher 2022-08-22 Hash: SHA3-256 MiB/sec > Higher Is Better A . 325.88 |=================================================================== B . 326.06 |=================================================================== C . 322.59 |================================================================== D . 326.17 |=================================================================== SMHasher 2022-08-22 Hash: SHA3-256 cycles/hash < Lower Is Better A . 1203.15 |================================================================== B . 1203.73 |================================================================== C . 1204.00 |================================================================== D . 1202.77 |================================================================== SMHasher 2022-08-22 Hash: Spooky32 MiB/sec > Higher Is Better A . 25362.49 |================================================================= B . 25371.39 |================================================================= C . 25353.15 |================================================================= D . 25358.50 |================================================================= SMHasher 2022-08-22 Hash: Spooky32 cycles/hash < Lower Is Better A . 23.62 |==================================================================== B . 23.64 |==================================================================== C . 23.65 |==================================================================== D . 23.65 |==================================================================== SMHasher 2022-08-22 Hash: fasthash32 MiB/sec > Higher Is Better A . 10861.08 |================================================================= B . 10861.08 |================================================================= C . 10861.09 |================================================================= D . 10861.06 |================================================================= SMHasher 2022-08-22 Hash: fasthash32 cycles/hash < Lower Is Better A . 19.56 |==================================================================== B . 19.55 |==================================================================== C . 19.56 |==================================================================== D . 19.55 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash128 MiB/sec > Higher Is Better A . 27510.72 |================================================================= B . 27465.42 |================================================================= C . 27485.70 |================================================================= D . 27494.74 |================================================================= SMHasher 2022-08-22 Hash: FarmHash128 cycles/hash < Lower Is Better A . 27.36 |==================================================================== B . 27.36 |==================================================================== C . 27.36 |==================================================================== D . 27.36 |==================================================================== SMHasher 2022-08-22 Hash: t1ha2_atonce MiB/sec > Higher Is Better A . 30977.36 |================================================================= B . 30756.70 |================================================================= C . 30057.97 |=============================================================== D . 30886.71 |================================================================= SMHasher 2022-08-22 Hash: t1ha2_atonce cycles/hash < Lower Is Better A . 17.57 |==================================================================== B . 17.57 |==================================================================== C . 17.59 |==================================================================== D . 17.57 |==================================================================== SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX MiB/sec > Higher Is Better A . 39148.58 |================================================================= B . 38656.01 |================================================================ C . 38617.17 |================================================================ D . 38548.28 |================================================================ SMHasher 2022-08-22 Hash: FarmHash32 x86_64 AVX cycles/hash < Lower Is Better A . 23.01 |==================================================================== B . 23.01 |==================================================================== C . 23.08 |==================================================================== D . 23.03 |==================================================================== SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 MiB/sec > Higher Is Better A . 94329.69 |=========================================================== B . 103057.81 |================================================================ C . 90812.67 |======================================================== D . 102286.47 |================================================================ SMHasher 2022-08-22 Hash: t1ha0_aes_avx2 x86_64 cycles/hash < Lower Is Better A . 17.60 |==================================================================== B . 17.60 |==================================================================== C . 17.60 |==================================================================== D . 17.60 |==================================================================== SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI MiB/sec > Higher Is Better A . 64054.43 |================================================================= B . 63986.83 |================================================================ C . 64507.92 |================================================================= D . 63986.78 |================================================================ SMHasher 2022-08-22 Hash: MeowHash x86_64 AES-NI cycles/hash < Lower Is Better A . 37.48 |==================================================================== B . 37.48 |==================================================================== C . 37.48 |==================================================================== D . 37.48 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better A . 3.59 |===================================================================== B . 3.58 |===================================================================== C . 3.58 |===================================================================== D . 3.58 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: VGG-16 images/sec > Higher Is Better A . 3.65 |===================================================================== B . 3.64 |===================================================================== C . 3.65 |===================================================================== D . 3.64 |===================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: VGG-16 images/sec > Higher Is Better A . 3.68 |===================================================================== B . 3.70 |===================================================================== C . 3.69 |===================================================================== D . 3.67 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better A . 73.85 |==================================================================== B . 73.62 |==================================================================== C . 73.31 |==================================================================== D . 50.27 |============================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: VGG-16 images/sec > Higher Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better A . 84.36 |==================================================================== B . 84.37 |==================================================================== C . 84.24 |==================================================================== D . 69.47 |======================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: VGG-16 images/sec > Higher Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better A . 89.79 |==================================================================== B . 88.71 |=================================================================== C . 88.91 |=================================================================== D . 90.26 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better A . 93.74 |==================================================================== B . 92.78 |=================================================================== C . 89.71 |================================================================= D . 92.80 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better A . 98.68 |==================================================================== B . 97.05 |=================================================================== C . 97.43 |=================================================================== D . 97.52 |=================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better A . 37.58 |==================================================================== B . 37.63 |==================================================================== C . 37.73 |==================================================================== D . 37.68 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better A . 12.81 |==================================================================== B . 12.80 |==================================================================== C . 12.82 |==================================================================== D . 12.85 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better A . 37.05 |==================================================================== B . 37.07 |==================================================================== C . 37.06 |==================================================================== D . 37.20 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better A . 13.27 |==================================================================== B . 13.28 |==================================================================== C . 13.23 |==================================================================== D . 13.27 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better A . 38.20 |==================================================================== B . 38.28 |==================================================================== C . 36.76 |================================================================= D . 38.15 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better A . 13.53 |==================================================================== B . 13.04 |================================================================== C . 13.22 |================================================================== D . 13.50 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better A . 39.74 |==================================================================== B . 39.36 |=================================================================== C . 38.99 |=================================================================== D . 37.24 |================================================================ TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better A . 40.29 |==================================================================== B . 40.00 |==================================================================== C . 39.94 |=================================================================== D . 40.02 |==================================================================== TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better