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AMD Ryzen 5 5500U testing with a NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 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 2403275-NE-TESTS110635
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March 26
  5 Hours, 17 Minutes
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March 26
  5 Hours, 11 Minutes
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tests AMD Ryzen 5 5500U testing with a NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 via the Phoronix Test Suite. ,,"a","b" Processor,,AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads),AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads) Motherboard,,NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS),NB01 TUXEDO Aura 15 Gen2 NL5xNU (1.07.11RTR1 BIOS) Chipset,,AMD Renoir/Cezanne,AMD Renoir/Cezanne Memory,,2 x 8GB DDR4-3200MT/s Samsung M471A1K43DB1-CWE,2 x 8GB DDR4-3200MT/s Samsung M471A1K43DB1-CWE Disk,,Samsung SSD 970 EVO Plus 500GB,Samsung SSD 970 EVO Plus 500GB Graphics,,AMD Lucienne 512MB (1800/1333MHz),AMD Lucienne 512MB (1800/1333MHz) Audio,,AMD Renoir Radeon HD Audio,AMD Renoir Radeon HD Audio Network,,Realtek RTL8111/8168/8211/8411 + Intel Wi-Fi 6 AX200,Realtek RTL8111/8168/8211/8411 + Intel Wi-Fi 6 AX200 OS,,Tuxedo 22.04,Tuxedo 22.04 Kernel,,6.5.0-10027-tuxedo (x86_64),6.5.0-10027-tuxedo (x86_64) Desktop,,KDE Plasma 5.27.10,KDE Plasma 5.27.10 Display Server,,X Server 1.21.1.4,X Server 1.21.1.4 OpenGL,,4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54),4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54) Vulkan,,1.3.274,1.3.274 Compiler,,GCC 11.4.0,GCC 11.4.0 File-System,,ext4,ext4 Screen Resolution,,1920x1080,1920x1080 ,,"a","b" "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,321.21,319.31 "Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,841.77,827.48 "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,385.47,372.08 "Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,3327.01,3128.57 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,1067.46,994.19 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,21.00,21.31 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,9.35,9.15 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,13.03,13.19 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,12.84,13.01 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,12.91,12.75 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,5.67,5.50 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-50 (batches/sec)",HIB,12.84,12.90 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,5.55,5.49 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-50 (batches/sec)",HIB,12.68,12.21 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,5.46,5.51 "PyTorch - Device: CPU - Batch Size: 256 - Model: ResNet-152 (batches/sec)",HIB,5.25,5.50 "PyTorch - Device: CPU - Batch Size: 512 - Model: ResNet-152 (batches/sec)",HIB,5.23,5.60 "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.16,5.55 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.43,3.65 "PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.40,3.60 "PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.42,3.62 "PyTorch - Device: CPU - Batch Size: 256 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.33,3.58 "PyTorch - Device: CPU - Batch Size: 512 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.43,3.60 "TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,1.39,1.38 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,5.15,5.1 "TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,3.2,3.09 "TensorFlow - Device: CPU - Batch Size: 32 - Model: VGG-16 (images/sec)",HIB,3.27,3.05 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,36.39,36.02 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,45.55,44.96 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,51.53,51.25 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,10.84,10.83 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,4.56,4.54 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,56.5,56.55 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,57.39,57.5 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,19.85,20.19 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,6.41,6.5 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,20.12,20.52 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,6.41,6.42 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,19.73,19.8 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,6.41,6.32 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,19.48,19.53 "Timed Mesa Compilation - Time To Compile (sec)",LIB,58.728,62.049