AMD Ryzen 9 5900HX testing with a ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 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 2401107-PTS-FGHJ244998
fghj
AMD Ryzen 9 5900HX testing with a ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 via the Phoronix Test Suite.
a:
Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 8 GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI
OS: Ubuntu 22.10, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 8 GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB, Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI
OS: Ubuntu 22.10, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
c:
Processor: AMD Ryzen 9 5900HX @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS ROG Strix G513QY_G513QY G513QY v1.0 (G513QY.318 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 2 x 8 GB DDR4-3200MT/s Micron 4ATF1G64HZ-3G2E2, Disk: 512GB SAMSUNG MZVLQ512HBLU-00B00, Graphics: ASUS AMD Cezanne 512MB (2500/1000MHz), Audio: AMD Navi 21/23, Monitor: LQ156M1JW25, Network: Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCI
OS: Ubuntu 22.10, Kernel: 5.19.0-46-generic (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.5 (LLVM 15.0.2 DRM 3.47), Vulkan: 1.3.224, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1920x1080
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 9.09 |=====================================================================
b . 9.07 |====================================================================
c . 9.14 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: VGG-16
images/sec > Higher Is Better
a . 3.50 |====================================================================
b . 3.52 |=====================================================================
c . 3.54 |=====================================================================
Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
a . 11390000 |=================================================================
b . 11406667 |=================================================================
c . 11416667 |=================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 6.22 |====================================================================
b . 6.28 |=====================================================================
c . 6.30 |=====================================================================
Speedb 2.7
Test: Random Fill Sync
Op/s > Higher Is Better
a . 11900 |====================================================================
b . 6186 |===================================
c . 5060 |=============================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 20.22 |====================================================================
b . 18.95 |================================================================
c . 19.76 |==================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: ResNet-50
images/sec > Higher Is Better
a . 7.59 |====================================================================
b . 7.65 |=====================================================================
c . 7.70 |=====================================================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
a . 22560000 |=================================================================
b . 22713333 |=================================================================
c . 22536667 |================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 34.04 |===================================================================
b . 34.44 |====================================================================
c . 34.13 |===================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 9.58 |=====================================================================
b . 9.46 |====================================================================
c . 9.48 |====================================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
a . 11990000 |=================================================================
b . 11966667 |=================================================================
c . 11953333 |=================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: GoogLeNet
images/sec > Higher Is Better
a . 21.12 |====================================================================
b . 21.20 |====================================================================
c . 21.25 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
a . 1.43 |====================================================================
b . 1.45 |=====================================================================
c . 1.46 |=====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 15.15 |===================================================================
b . 15.27 |====================================================================
c . 15.21 |====================================================================
Speedb 2.7
Test: Random Fill
Op/s > Higher Is Better
a . 819366 |===================================================================
b . 821234 |===================================================================
c . 818673 |===================================================================
Speedb 2.7
Test: Read Random Write Random
Op/s > Higher Is Better
a . 1769691 |==================================================================
b . 1776164 |==================================================================
c . 1778569 |==================================================================
Speedb 2.7
Test: Read While Writing
Op/s > Higher Is Better
a . 3035137 |==================================================================
b . 2842258 |==============================================================
c . 2960839 |================================================================
Speedb 2.7
Test: Update Random
Op/s > Higher Is Better
a . 458594 |=================================================================
b . 472342 |===================================================================
c . 474392 |===================================================================
Speedb 2.7
Test: Random Read
Op/s > Higher Is Better
a . 51459190 |=================================================================
b . 51062544 |================================================================
c . 51108888 |=================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 50.42 |====================================================================
b . 49.83 |===================================================================
c . 49.80 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 16 - Model: AlexNet
images/sec > Higher Is Better
a . 40.05 |===================================================================
b . 40.34 |====================================================================
c . 40.40 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 4.61 |====================================================================
b . 4.69 |=====================================================================
c . 4.71 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 5.09 |====================================================================
b . 5.13 |=====================================================================
c . 5.15 |=====================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 23.26 |====================================================================
b . 23.08 |===================================================================
c . 22.89 |===================================================================
Speedb 2.7
Test: Sequential Fill
Op/s > Higher Is Better
a . 933961 |==================================================================
b . 935621 |==================================================================
c . 944900 |===================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 12.17 |====================================================================
b . 12.22 |====================================================================
c . 12.05 |===================================================================