ha1-hyperscalers-with-l40s-pytorch 2 x AMD EPYC 9174F 16-Core testing with a ASUS RS700A-E12-RS4U K14PP-D24 (1002 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. ha1-hyperscalers-with-l40s-pytorch: Processor: 2 x AMD EPYC 9174F 16-Core @ 4.10GHz (32 Cores / 63 Threads), Motherboard: ASUS RS700A-E12-RS4U K14PP-D24 (1002 BIOS), Chipset: AMD Device 14a4, Memory: 24 x 32 GB 4800MT/s Samsung M321R4GA3BB6-CQKEG, Disk: 500GB CT500P3PSSD8 + 3841GB DAPUSTOR DPH311T4T003T8 + 960GB HUSMR7696BDP3Y1, Graphics: llvmpipe, Monitor: ACER KA220HQ, Network: 2 x Intel X710 for 10GBASE-T + 2 x Intel X710 for 10GbE SFP+ OS: Ubuntu 20.04, Kernel: 5.15.0-91-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.13, Display Driver: NVIDIA 535.154.05, OpenGL: 4.5 Mesa 21.2.6 (LLVM 12.0.0 256 bits), OpenCL: OpenCL 3.0 CUDA 12.2.148, Vulkan: 1.3.242, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1280x1024 PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 19.41 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 10.11 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 31.25 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 31.18 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 30.06 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 11.86 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 29.90 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 11.90 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 29.50 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 11.87 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 12.00 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 11.70 |=================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 7.44 |==================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 1.34 |==================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 1.35 |==================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 1.36 |==================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 1.36 |==================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better ha1-hyperscalers-with-l40s-pytorch . 1.35 |====================================