AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800 XT on Ubuntu 22.04 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 2210089-PTS-RYZENTF105
ryzen tf
AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG CROSSHAIR X670E HERO (0703 BIOS) and AMD Radeon RX 6800 XT on Ubuntu 22.04 via the Phoronix Test Suite.
A:
Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0703 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6800 XT (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
B:
Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0703 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6800 XT (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
C:
Processor: AMD Ryzen 9 7950X 16-Core @ 4.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR X670E HERO (0703 BIOS), Chipset: AMD Device 14d8, Memory: 32GB, Disk: 1000GB Sabrent Rocket 4.0 Plus, Graphics: AMD Radeon RX 6800 XT (2575/1000MHz), Audio: AMD Navi 21 HDMI Audio, Monitor: ASUS MG28U, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411
OS: Ubuntu 22.04, Kernel: 6.0.0-060000-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server 1.21.1.3 + Wayland, OpenGL: 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48), Vulkan: 1.3.204, Compiler: GCC 11.2.0, File-System: ext4, Screen Resolution: 3840x2160
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
A . 44.52 |====================================================================
B . 44.51 |====================================================================
C . 44.52 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
A . 139.61 |===================================================================
B . 139.51 |===================================================================
C . 139.76 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
A . 139.39 |===================================================================
B . 139.43 |===================================================================
C . 139.51 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
A . 43.95 |====================================================================
B . 43.94 |====================================================================
C . 43.99 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
A . 450.88 |===================================================================
B . 450.87 |===================================================================
C . 451.18 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
A . 43.66 |====================================================================
B . 43.74 |====================================================================
C . 43.66 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
A . 433.46 |===================================================================
B . 433.97 |===================================================================
C . 433.68 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
A . 142.61 |===================================================================
B . 142.48 |===================================================================
C . 142.60 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
A . 42.25 |====================================================================
B . 42.20 |====================================================================
C . 42.32 |====================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
A . 144.72 |===================================================================
B . 144.66 |===================================================================
C . 144.54 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
A . 342.05 |===================================================================
B . 341.62 |===================================================================
C . 342.35 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
A . 258.36 |===================================================================
B . 258.39 |===================================================================
C . 258.52 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
A . 142.50 |===================================================================
B . 142.13 |===================================================================
C . 142.76 |===================================================================
TensorFlow 2.10
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
A . 172.71 |===================================================================
B . 172.69 |===================================================================
C . 172.82 |===================================================================