tensorflow ryzen zen 4 AMD Ryzen 9 7950X3D 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (9927 BIOS) and AMD Radeon RX 7900 XTX on Ubuntu 23.04 via the Phoronix Test Suite. 7600x a: Processor: AMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 7600x b: Processor: AMD Ryzen 5 7600X 6-Core @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 7950x3d a: Processor: AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 7950x3d b: Processor: AMD Ryzen 9 7950X3D 16-Core @ 4.20GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (9927 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: Western Digital WD_BLACK SN850X 1000GB + 2000GB, Graphics: AMD Radeon RX 7900 XTX (2304/1249MHz), Audio: AMD Device ab30, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411 OS: Ubuntu 23.04, Kernel: 6.2.8-060208-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 23.1.0-devel (git-de8b14f 2023-03-24 lunar-oibaf-ppa) (LLVM 15.0.7 DRM 3.49), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160 TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better 7600x a ... 114.42 |====================================== 7600x b ... 114.73 |====================================== 7950x3d a . 176.00 |=========================================================== 7950x3d b . 176.37 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better 7600x a ... 145.54 |================================= 7600x b ... 145.45 |================================= 7950x3d a . 259.68 |=========================================================== 7950x3d b . 258.45 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better 7600x a ... 166.15 |============================= 7600x b ... 164.76 |============================= 7950x3d a . 340.13 |=========================================================== 7950x3d b . 339.62 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better 7600x a ... 186.23 |========================== 7600x b ... 186.31 |========================== 7950x3d a . 419.28 |=========================================================== 7950x3d b . 418.85 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better 7600x a ... 188.70 |========================== 7600x b ... 190.30 |========================== 7950x3d a . 430.57 |=========================================================== 7950x3d b . 430.58 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better 7600x a ... 82.08 |================================= 7600x b ... 81.95 |================================= 7950x3d a . 146.69 |=========================================================== 7950x3d b . 146.43 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better 7600x a ... 27.86 |======================================= 7600x b ... 27.85 |======================================= 7950x3d a . 43.14 |============================================================ 7950x3d b . 43.24 |============================================================ TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better 7600x a ... 80.73 |================================ 7600x b ... 80.76 |================================ 7950x3d a . 149.50 |=========================================================== 7950x3d b . 149.66 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better 7600x a ... 27.81 |====================================== 7600x b ... 27.80 |====================================== 7950x3d a . 44.34 |============================================================ 7950x3d b . 44.32 |============================================================ TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better 7600x a ... 80.05 |================================= 7600x b ... 79.92 |================================ 7950x3d a . 145.10 |=========================================================== 7950x3d b . 145.19 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better 7600x a ... 27.63 |===================================== 7600x b ... 27.66 |====================================== 7950x3d a . 44.16 |============================================================ 7950x3d b . 44.24 |============================================================ TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better 7600x a ... 79.54 |================================== 7600x b ... 79.61 |================================== 7950x3d a . 137.95 |=========================================================== 7950x3d b . 137.75 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better 7600x a ... 27.53 |====================================== 7600x b ... 27.54 |====================================== 7950x3d a . 43.85 |============================================================ 7950x3d b . 43.90 |============================================================ TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better 7600x a ... 79.77 |================================== 7600x b ... 79.77 |================================== 7950x3d a . 136.90 |=========================================================== 7950x3d b . 136.97 |=========================================================== TensorFlow 2.12 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better Blender 3.5 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better 7600x a ... 127.87 |=========================================================== 7600x b ... 128.26 |=========================================================== 7950x3d a . 52.10 |======================== 7950x3d b . 51.96 |======================== Blender 3.5 Blend File: Classroom - Compute: CPU-Only Seconds < Lower Is Better 7600x a ... 333.15 |=========================================================== 7600x b ... 333.68 |=========================================================== 7950x3d a . 136.00 |======================== 7950x3d b . 135.80 |======================== Blender 3.5 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better 7600x a ... 163.19 |=========================================================== 7600x b ... 162.92 |=========================================================== 7950x3d a . 66.56 |======================== 7950x3d b . 66.16 |======================== Blender 3.5 Blend File: Barbershop - Compute: CPU-Only Seconds < Lower Is Better 7600x a ... 1202.85 |========================================================== 7600x b ... 1202.67 |========================================================== 7950x3d a . 480.88 |======================= 7950x3d b . 480.34 |======================= Blender 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better 7600x a ... 411.84 |=========================================================== 7600x b ... 410.66 |=========================================================== 7950x3d a . 167.38 |======================== 7950x3d b . 166.53 |========================