240225pytorch

Intel Core i7-13700K testing with a ASUS PRIME Z790-P WIFI (1010 BIOS) and NVIDIA GeForce RTX 3090 24GB on Ubuntu 22.04 via the Phoronix Test Suite.

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240225pytorch
February 26
  54 Minutes
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240225pytorch Intel Core i7-13700K testing with a ASUS PRIME Z790-P WIFI (1010 BIOS) and NVIDIA GeForce RTX 3090 24GB on Ubuntu 22.04 via the Phoronix Test Suite. 240225pytorch: Processor: Intel Core i7-13700K @ 5.30GHz (16 Cores / 24 Threads), Motherboard: ASUS PRIME Z790-P WIFI (1010 BIOS), Chipset: Intel Device 7a27, Memory: 64GB, Disk: 2000GB Samsung SSD 990 PRO with Heatsink 2TB, Graphics: NVIDIA GeForce RTX 3090 24GB, Audio: Realtek ALC897, Monitor: Sceptre K32 + HP VH240a, Network: Realtek RTL8125 2.5GbE + Intel Device 7a70 OS: Ubuntu 22.04, Kernel: 6.5.0-21-generic (x86_64), Desktop: GNOME Shell 42.9, Display Server: X Server 1.21.1.4, Display Driver: NVIDIA 535.154.05, OpenGL: 4.6.0, Compiler: GCC 12.3.0 + Clang 15.0.7 + CUDA 12.3, File-System: ext4, Screen Resolution: 1920x2160 PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 34.48 |======================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 33.62 |======================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 33.28 |======================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 34.08 |======================================================== PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 436.14 |======================================================= PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 436.80 |======================================================= PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 431.20 |======================================================= PyTorch 2.1 Device: NVIDIA CUDA GPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better 240225pytorch . 436.12 |=======================================================