Tests for a future article. 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 2403268-NE-EPYCSIENA58
epyc siena
Tests for a future article. AMD EPYC 8534P 64-Core testing with a AMD Cinnabar (RCB1009C BIOS) and ASPEED on Ubuntu 23.10 via the Phoronix Test Suite.
,,"a","b"
Processor,,AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads),AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads)
Motherboard,,AMD Cinnabar (RCB1009C BIOS),AMD Cinnabar (RCB1009C BIOS)
Chipset,,AMD Device 14a4,AMD Device 14a4
Memory,,6 x 32GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG,6 x 32GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG
Disk,,3201GB Micron_7450_MTFDKCB3T2TFS + 2000GB Corsair MP700,3201GB Micron_7450_MTFDKCB3T2TFS + 2000GB Corsair MP700
Graphics,,ASPEED,ASPEED
Network,,2 x Broadcom NetXtreme BCM5720 PCIe,2 x Broadcom NetXtreme BCM5720 PCIe
OS,,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.8.1-060801-generic (x86_64),6.8.1-060801-generic (x86_64)
Desktop,,GNOME Shell 45.2,GNOME Shell 45.2
Display Server,,X Server 1.21.1.7,X Server 1.21.1.7
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1200,1920x1200
,,"a","b"
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,35.28,37.82
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,64.29,63.55
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,26.08,25.82
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,79.54,78.85
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,32.96,32.71
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,10.9,10.98
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,285.85,284.4
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,349.15,347.83
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,89.84,89.51
"TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,11.40,11.43
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,64.85,64.68
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,249.12,249.77
"TensorFlow - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec)",HIB,42.82,42.93
"TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,926.49,924.61
"TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,101.92,101.73
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,81.13,80.98
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,199.74,200.1
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,230.13,229.77
"TensorFlow - Device: CPU - Batch Size: 256 - Model: VGG-16 (images/sec)",HIB,45.78,45.71
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,34.38,34.43
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,529.36,530.09
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,704.03,703.08
"TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,887.98,889.09
"TensorFlow - Device: CPU - Batch Size: 512 - Model: ResNet-50 (images/sec)",HIB,104.53,104.61
"TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,39.78,39.79
"TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,320.31,320.23
"TensorFlow - Device: CPU - Batch Size: 64 - Model: VGG-16 (images/sec)",HIB,44.69,44.7
"TensorFlow - Device: CPU - Batch Size: 512 - Model: GoogLeNet (images/sec)",HIB,326.63,326.6
"Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,34.32,34.32