big bench AMD Ryzen Threadripper 7980X 64-Cores testing with a ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS) and AMD Radeon RX 7900 XT 20GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads), Motherboard: ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XT 20GB (2025/1249MHz), Audio: Realtek ALC1220, Monitor: DELL U2723QE, Network: Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231126-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads), Motherboard: ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XT 20GB (2025/1249MHz), Audio: Realtek ALC1220, Monitor: DELL U2723QE, Network: Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231126-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: AMD Ryzen Threadripper 7980X 64-Cores @ 8.21GHz (64 Cores / 128 Threads), Motherboard: ASUS Pro WS TRX50-SAGE WIFI (0217 BIOS), Chipset: AMD Device 14a4, Memory: 128GB, Disk: 2000GB Corsair MP700 PRO + 1000GB Western Digital WDS100T1X0E-00AFY0, Graphics: AMD Radeon RX 7900 XT 20GB (2025/1249MHz), Audio: Realtek ALC1220, Monitor: DELL U2723QE, Network: Aquantia Device 04c0 + Intel I226-LM + MEDIATEK MT7922 802.11ax PCI OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231126-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3 (LLVM 15.0.7 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160 TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 9.74 |===================================================================== b . 9.73 |===================================================================== c . 9.72 |===================================================================== Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better a . 19776667 |================================================================= b . 19733333 |================================================================= c . 19820000 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 25.72 |=================================================================== b . 25.81 |==================================================================== c . 25.96 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 44.41 |==================================================================== b . 44.50 |==================================================================== c . 44.48 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: VGG-16 images/sec > Higher Is Better a . 48.89 |==================================================================== b . 48.93 |==================================================================== c . 48.81 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: VGG-16 images/sec > Higher Is Better a . 52.95 |==================================================================== b . 53.00 |==================================================================== c . 52.91 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 311.97 |=================================================================== b . 312.08 |=================================================================== c . 312.14 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: VGG-16 images/sec > Higher Is Better a . 57.14 |==================================================================== b . 57.11 |==================================================================== c . 57.15 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 510.66 |=================================================================== b . 508.52 |=================================================================== c . 510.40 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: VGG-16 images/sec > Higher Is Better a . 57.97 |==================================================================== b . 57.97 |==================================================================== c . 57.99 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 740.46 |=================================================================== b . 741.77 |=================================================================== c . 741.04 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 21.82 |================================================================== b . 22.59 |==================================================================== c . 22.37 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 7.19 |==================================================================== b . 7.26 |===================================================================== c . 7.25 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 1070.73 |================================================================== b . 1073.52 |================================================================== c . 1075.09 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 1145.66 |================================================================== b . 1148.38 |================================================================== c . 1151.27 |================================================================== Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better a . 26026667 |================================================================= b . 26010000 |================================================================= c . 25920000 |================================================================= TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 187.92 |=================================================================== b . 188.50 |=================================================================== c . 188.52 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 54.70 |==================================================================== b . 54.44 |==================================================================== c . 54.72 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 226.85 |================================================================== b . 231.61 |=================================================================== c . 222.04 |================================================================ TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 69.43 |==================================================================== b . 69.49 |==================================================================== c . 69.17 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 272.16 |=================================================================== b . 272.22 |=================================================================== c . 272.84 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 80.00 |==================================================================== b . 79.77 |==================================================================== c . 79.87 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 311.60 |=================================================================== b . 311.23 |=================================================================== c . 311.73 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 91.12 |==================================================================== b . 91.13 |==================================================================== c . 91.11 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better a . 315.49 |=================================================================== b . 315.83 |=================================================================== c . 316.04 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better a . 95.05 |==================================================================== b . 95.08 |==================================================================== c . 95.04 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 59.04 |=================================================================== b . 59.22 |=================================================================== c . 59.69 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 21.94 |==================================================================== b . 21.91 |==================================================================== c . 21.80 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 47.47 |==================================================================== b . 47.41 |==================================================================== c . 47.60 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 47.47 |=================================================================== b . 47.24 |=================================================================== c . 48.12 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 47.57 |==================================================================== b . 47.22 |=================================================================== c . 47.81 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.68 |==================================================================== b . 18.65 |==================================================================== c . 18.71 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 batches/sec > Higher Is Better a . 47.43 |==================================================================== b . 47.24 |==================================================================== c . 43.07 |============================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.76 |=================================================================== b . 18.67 |=================================================================== c . 19.02 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-50 batches/sec > Higher Is Better a . 47.54 |==================================================================== b . 45.97 |================================================================== c . 46.60 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.69 |================================================================== b . 18.62 |================================================================= c . 19.38 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.99 |==================================================================== b . 18.80 |=================================================================== c . 19.10 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: ResNet-152 batches/sec > Higher Is Better a . 18.96 |==================================================================== b . 18.49 |================================================================== c . 18.82 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 12.19 |=================================================================== b . 12.29 |==================================================================== c . 12.27 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 7.52 |===================================================================== b . 7.46 |==================================================================== c . 7.50 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 7.49 |===================================================================== b . 7.45 |==================================================================== c . 7.52 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 7.46 |==================================================================== b . 7.45 |==================================================================== c . 7.52 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 7.47 |==================================================================== b . 7.40 |==================================================================== c . 7.54 |===================================================================== Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better a . 20023333 |================================================================= b . 19973333 |================================================================= c . 20090000 |================================================================= PyTorch 2.1 Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 7.47 |===================================================================== b . 7.52 |===================================================================== c . 7.48 |=====================================================================