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.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2401073-PTS-TPY9619764
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
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 |====================================================================
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 |=================================================================
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 |==================================================================
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 |====================================================================
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 |====================================================================