Tests for a future article. AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.04 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 2303299-PTS-TENSORFL48
tensorflow 2.12 threadripper
Tests for a future article. AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 23.04 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.04, Kernel: 6.2.0-18-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
b:
Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F6 BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200
OS: Ubuntu 23.04, Kernel: 6.2.0-18-generic (x86_64), Desktop: GNOME Shell 44.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.6 (LLVM 15.0.7 DRM 3.49), Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 3840x2160
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: VGG-16
images/sec > Higher Is Better
a . 4.61 |=====================================================================
b . 4.61 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: VGG-16
images/sec > Higher Is Better
a . 4.58 |=====================================================================
b . 4.58 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: ResNet-50
images/sec > Higher Is Better
a . 14.72 |====================================================================
b . 14.74 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: ResNet-50
images/sec > Higher Is Better
a . 13.88 |====================================================================
b . 13.88 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: VGG-16
images/sec > Higher Is Better
a . 4.37 |=====================================================================
b . 4.36 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a . 43.11 |====================================================================
b . 43.14 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: VGG-16
images/sec > Higher Is Better
a . 4.16 |=====================================================================
b . 4.14 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: GoogLeNet
images/sec > Higher Is Better
a . 41.91 |====================================================================
b . 41.90 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 12.38 |====================================================================
b . 12.34 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 113.56 |===================================================================
b . 113.42 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 3.87 |=====================================================================
b . 3.85 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: ResNet-50
images/sec > Higher Is Better
a . 11.82 |====================================================================
b . 11.85 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 256 - Model: AlexNet
images/sec > Higher Is Better
a . 106.91 |===================================================================
b . 106.61 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 40.91 |====================================================================
b . 40.61 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.51 |====================================================================
b . 10.45 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 38.06 |====================================================================
b . 37.90 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 81.60 |====================================================================
b . 81.66 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 31.97 |====================================================================
b . 32.05 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 32 - Model: AlexNet
images/sec > Higher Is Better
a . 67.16 |====================================================================
b . 66.65 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 56.39 |====================================================================
b . 55.87 |===================================================================