pytorch epyc AMD EPYC 8534P 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 192GB, Disk: 800GB Micron_7450_MTFDKBA800TFS, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.5.0-5-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 640x480 b: Processor: AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 192GB, Disk: 800GB Micron_7450_MTFDKBA800TFS, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.5.0-5-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 640x480 c: Processor: AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 192GB, Disk: 800GB Micron_7450_MTFDKBA800TFS, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe OS: Ubuntu 23.10, Kernel: 6.5.0-5-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 640x480 PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 6.04 |===================================================================== b . 6.03 |===================================================================== c . 6.03 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 6.04 |===================================================================== b . 6.05 |===================================================================== c . 6.04 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 6.04 |===================================================================== b . 6.03 |===================================================================== c . 6.05 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 6.05 |===================================================================== b . 6.05 |===================================================================== c . 6.07 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 6.06 |===================================================================== b . 6.06 |===================================================================== c . 6.05 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 14.44 |==================================================================== b . 14.44 |==================================================================== c . 14.37 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better a . 14.53 |==================================================================== b . 14.43 |==================================================================== c . 14.36 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better a . 14.56 |==================================================================== b . 14.34 |=================================================================== c . 14.64 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 14.53 |=================================================================== b . 14.65 |==================================================================== c . 14.39 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 14.51 |=================================================================== b . 14.71 |==================================================================== c . 14.58 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 9.62 |===================================================================== b . 9.57 |===================================================================== c . 9.57 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 16.52 |=================================================================== b . 16.65 |==================================================================== c . 16.60 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 36.21 |=================================================================== b . 36.67 |==================================================================== c . 36.69 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better a . 36.25 |=================================================================== b . 36.90 |==================================================================== c . 36.62 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 36.51 |=================================================================== b . 36.68 |==================================================================== c . 36.84 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better a . 37.02 |==================================================================== b . 36.79 |==================================================================== c . 36.69 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 37.01 |==================================================================== b . 36.77 |==================================================================== c . 36.87 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 45.11 |=================================================================== b . 45.55 |==================================================================== c . 44.95 |===================================================================