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:
Processor: AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS + 2000GB Corsair MP700, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.8.1-060801-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
b:
Processor: AMD EPYC 8534P 64-Core @ 2.30GHz (64 Cores / 128 Threads), Motherboard: AMD Cinnabar (RCB1009C BIOS), Chipset: AMD Device 14a4, Memory: 6 x 32GB DRAM-4800MT/s Samsung M321R4GA0BB0-CQKMG, Disk: 3201GB Micron_7450_MTFDKCB3T2TFS + 2000GB Corsair MP700, Graphics: ASPEED, Network: 2 x Broadcom NetXtreme BCM5720 PCIe
OS: Ubuntu 23.10, Kernel: 6.8.1-060801-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200
Blender 4.1
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 26.08 |====================================================================
b . 25.82 |===================================================================
Blender 4.1
Blend File: Junkshop - Compute: CPU-Only
Seconds < Lower Is Better
a . 34.32 |====================================================================
b . 34.32 |====================================================================
Blender 4.1
Blend File: Classroom - Compute: CPU-Only
Seconds < Lower Is Better
a . 64.85 |====================================================================
b . 64.68 |====================================================================
Blender 4.1
Blend File: Fishy Cat - Compute: CPU-Only
Seconds < Lower Is Better
a . 32.96 |====================================================================
b . 32.71 |===================================================================
Blender 4.1
Blend File: Barbershop - Compute: CPU-Only
Seconds < Lower Is Better
a . 230.13 |===================================================================
b . 229.77 |===================================================================
Blender 4.1
Blend File: Pabellon Barcelona - Compute: CPU-Only
Seconds < Lower Is Better
a . 81.13 |====================================================================
b . 80.98 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
a . 11.40 |====================================================================
b . 11.43 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 34.38 |====================================================================
b . 34.43 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 39.78 |====================================================================
b . 39.79 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
a . 42.82 |====================================================================
b . 42.93 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: VGG-16
images/sec > Higher Is Better
a . 44.69 |====================================================================
b . 44.70 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 349.15 |===================================================================
b . 347.83 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: VGG-16
images/sec > Higher Is Better
a . 45.78 |====================================================================
b . 45.71 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 529.36 |===================================================================
b . 530.09 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 704.03 |===================================================================
b . 703.08 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 35.28 |===============================================================
b . 37.82 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.90 |====================================================================
b . 10.98 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 887.98 |===================================================================
b . 889.09 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 926.49 |===================================================================
b . 924.61 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 199.74 |===================================================================
b . 200.10 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 64.29 |====================================================================
b . 63.55 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 249.12 |===================================================================
b . 249.77 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 79.54 |====================================================================
b . 78.85 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 285.85 |===================================================================
b . 284.40 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 89.84 |====================================================================
b . 89.51 |====================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 320.31 |===================================================================
b . 320.23 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
a . 101.92 |===================================================================
b . 101.73 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a . 326.63 |===================================================================
b . 326.60 |===================================================================
TensorFlow 2.16.1
Device: CPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better
a . 104.53 |===================================================================
b . 104.61 |===================================================================