epyc siena 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 |===================================================================