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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401079-PTS-BIGBENCH30
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: 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: 512 - Model: ResNet-50
images/sec > Higher Is Better
a . 95.05 |====================================================================
b . 95.08 |====================================================================
c . 95.04 |====================================================================
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 |====================================================================
Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
a . 20023333 |=================================================================
b . 19973333 |=================================================================
c . 20090000 |=================================================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
a . 19776667 |=================================================================
b . 19733333 |=================================================================
c . 19820000 |=================================================================
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 |====================================================================
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 |=====================================================================
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: 512 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 7.47 |=====================================================================
b . 7.52 |=====================================================================
c . 7.48 |=====================================================================
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: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 7.52 |=====================================================================
b . 7.46 |====================================================================
c . 7.50 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 512 - Model: GoogLeNet
images/sec > Higher Is Better
a . 315.49 |===================================================================
b . 315.83 |===================================================================
c . 316.04 |===================================================================
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: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a . 47.47 |===================================================================
b . 47.24 |===================================================================
c . 48.12 |====================================================================
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 |====================================================================
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: 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: 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: 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: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 12.19 |===================================================================
b . 12.29 |====================================================================
c . 12.27 |====================================================================
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: 64 - Model: ResNet-50
images/sec > Higher Is Better
a . 80.00 |====================================================================
b . 79.77 |====================================================================
c . 79.87 |====================================================================
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: 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 |====================================================================
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 |====================================================================
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 |====================================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
a . 26026667 |=================================================================
b . 26010000 |=================================================================
c . 25920000 |=================================================================
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 |====================================================================
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: 512 - Model: AlexNet
images/sec > Higher Is Better
a . 1145.66 |==================================================================
b . 1148.38 |==================================================================
c . 1151.27 |==================================================================
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 |===================================================================
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: 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: 64 - Model: GoogLeNet
images/sec > Higher Is Better
a . 272.16 |===================================================================
b . 272.22 |===================================================================
c . 272.84 |===================================================================
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: 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: 32 - Model: GoogLeNet
images/sec > Higher Is Better
a . 226.85 |==================================================================
b . 231.61 |===================================================================
c . 222.04 |================================================================
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 |=====================================================================
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: 64 - Model: AlexNet
images/sec > Higher Is Better
a . 740.46 |===================================================================
b . 741.77 |===================================================================
c . 741.04 |===================================================================
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: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 311.97 |===================================================================
b . 312.08 |===================================================================
c . 312.14 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 25.72 |===================================================================
b . 25.81 |====================================================================
c . 25.96 |====================================================================