AMD EPYC 8534P 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 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 2311161-NE-PYTORCHEP15
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: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 45.11 |===================================================================
b . 45.55 |====================================================================
c . 44.95 |===================================================================
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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 6.04 |=====================================================================
b . 6.03 |=====================================================================
c . 6.05 |=====================================================================
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: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 6.04 |=====================================================================
b . 6.03 |=====================================================================
c . 6.03 |=====================================================================