tpy AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and NVIDIA NV174 8GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GB, Graphics: NVIDIA NV174 8GB, Audio: NVIDIA GA104 HD Audio, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231127-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 24.0~git2311260600.945288~oibaf~m (git-945288f 2023-11-26 mantic-oibaf-ppa), Compiler: GCC 13.2.0 + LLVM 16.0.6, File-System: ext4, Screen Resolution: 3840x2160 b: Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GB, Graphics: NVIDIA NV174 8GB, Audio: NVIDIA GA104 HD Audio, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231127-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 24.0~git2311260600.945288~oibaf~m (git-945288f 2023-11-26 mantic-oibaf-ppa), Compiler: GCC 13.2.0 + LLVM 16.0.6, File-System: ext4, Screen Resolution: 3840x2160 c: Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GB, Graphics: NVIDIA NV174 8GB, Audio: NVIDIA GA104 HD Audio, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231127-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 24.0~git2311260600.945288~oibaf~m (git-945288f 2023-11-26 mantic-oibaf-ppa), Compiler: GCC 13.2.0 + LLVM 16.0.6, File-System: ext4, Screen Resolution: 3840x2160 d: Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GB, Graphics: NVIDIA NV174 8GB, Audio: NVIDIA GA104 HD Audio, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc2daily20231127-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, Display Driver: nouveau, OpenGL: 4.3 Mesa 24.0~git2311260600.945288~oibaf~m (git-945288f 2023-11-26 mantic-oibaf-ppa), Compiler: GCC 13.2.0 + LLVM 16.0.6, File-System: ext4, Screen Resolution: 3840x2160 Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better a . 21000000 |================================================================= b . 21010000 |================================================================= c . 20880000 |================================================================= d . 20930000 |================================================================= Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better a . 25220000 |================================================================= b . 25120000 |================================================================= c . 25110000 |================================================================= d . 25020000 |================================================================ Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better a . 25790000 |================================================================= b . 25790000 |================================================================= c . 25760000 |================================================================= d . 25710000 |================================================================= Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 16.67 |=================================================================== b . 16.80 |==================================================================== c . 16.82 |==================================================================== d . 16.83 |==================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 5B Seconds < Lower Is Better a . 100.86 |=================================================================== b . 101.09 |=================================================================== c . 101.15 |=================================================================== d . 100.93 |=================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 7.967 |==================================================================== b . 7.967 |==================================================================== c . 7.963 |=================================================================== d . 8.025 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 75.35 |=================================================================== b . 75.88 |==================================================================== c . 76.25 |==================================================================== d . 74.61 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 31.52 |==================================================================== b . 31.43 |==================================================================== c . 30.27 |================================================================= d . 29.64 |================================================================ PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 50.47 |==================================================================== b . 50.64 |==================================================================== c . 49.49 |================================================================== d . 50.46 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 21.04 |==================================================================== b . 20.93 |==================================================================== c . 20.91 |==================================================================== d . 21.03 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 16.63 |=================================================================== b . 16.92 |==================================================================== c . 16.61 |=================================================================== d . 16.79 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 12.60 |==================================================================== b . 12.54 |==================================================================== c . 12.59 |==================================================================== d . 12.63 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 5.66 |===================================================================== b . 5.67 |===================================================================== c . 5.66 |===================================================================== d . 5.66 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 15.99 |==================================================================== b . 15.97 |==================================================================== c . 16.04 |==================================================================== d . 16.01 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 18.86 |==================================================================== b . 18.84 |==================================================================== c . 18.83 |==================================================================== d . 18.80 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 175.11 |=================================================================== b . 175.03 |=================================================================== c . 175.11 |=================================================================== d . 175.08 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 53.74 |=================================================================== b . 54.38 |==================================================================== c . 53.71 |=================================================================== d . 54.04 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 14.58 |==================================================================== b . 14.59 |==================================================================== c . 14.63 |==================================================================== d . 14.63 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 144.31 |=================================================================== b . 143.92 |=================================================================== c . 144.06 |=================================================================== d . 144.18 |=================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 42.72 |==================================================================== b . 42.64 |==================================================================== c . 42.76 |==================================================================== d . 42.68 |==================================================================== Speedb 2.7 Test: Random Fill Op/s > Higher Is Better a . 954442 |=================================================================== b . 939009 |================================================================== c . 952620 |=================================================================== d . 937049 |================================================================== Speedb 2.7 Test: Random Read Op/s > Higher Is Better a . 147210519 |================================================================ b . 146512383 |================================================================ c . 146079090 |================================================================ d . 145109573 |=============================================================== Speedb 2.7 Test: Update Random Op/s > Higher Is Better a . 685228 |=================================================================== b . 685969 |=================================================================== c . 689457 |=================================================================== d . 686870 |=================================================================== Speedb 2.7 Test: Sequential Fill Op/s > Higher Is Better a . 981469 |================================================================== b . 979943 |================================================================== c . 989483 |=================================================================== d . 986432 |=================================================================== Speedb 2.7 Test: Random Fill Sync Op/s > Higher Is Better a . 3763 |===================================================================== b . 3753 |===================================================================== c . 3737 |===================================================================== d . 3645 |=================================================================== Speedb 2.7 Test: Read While Writing Op/s > Higher Is Better a . 5742331 |================================================================== b . 5429438 |============================================================== c . 5484728 |=============================================================== d . 5554254 |================================================================ Speedb 2.7 Test: Read Random Write Random Op/s > Higher Is Better a . 3121462 |================================================================= b . 3139533 |================================================================== c . 3144190 |================================================================== d . 3154171 |==================================================================