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AMD Ryzen 5 5500U testing with a NB01 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 2401075-NE-FHD99334640
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January 06
  6 Hours, 16 Minutes
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January 07
  2 Hours, 3 Minutes
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January 07
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fhd AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 via the Phoronix Test Suite. ,,"s","b","c" Processor,,AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads),AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads),AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads) Motherboard,,NB01 NL5xNU (1.07.11RTR1 BIOS),NB01 NL5xNU (1.07.11RTR1 BIOS),NB01 NL5xNU (1.07.11RTR1 BIOS) Chipset,,AMD Renoir/Cezanne,AMD Renoir/Cezanne,AMD Renoir/Cezanne Memory,,16GB,16GB,16GB Disk,,Samsung SSD 970 EVO Plus 500GB,Samsung SSD 970 EVO Plus 500GB,Samsung SSD 970 EVO Plus 500GB Graphics,,AMD Lucienne 512MB (1800/400MHz),AMD Lucienne 512MB (1800/400MHz),AMD Lucienne 512MB (1800/400MHz) Audio,,AMD Renoir Radeon HD Audio,AMD Renoir Radeon HD Audio,AMD Renoir Radeon HD Audio Network,,Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200,Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200,Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 OS,,Tuxedo 22.04,Tuxedo 22.04,Tuxedo 22.04 Kernel,,6.0.0-1010-oem (x86_64),6.0.0-1010-oem (x86_64),6.0.0-1010-oem (x86_64) Desktop,,KDE Plasma 5.26.5,KDE Plasma 5.26.5,KDE Plasma 5.26.5 Display Server,,X Server 1.21.1.3,X Server 1.21.1.3,X Server 1.21.1.3 OpenGL,,4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48),4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48),4.6 Mesa 22.3.7 (LLVM 14.0.0 DRM 3.48) Vulkan,,1.3.230,1.3.230,1.3.230 Compiler,,GCC 11.3.0,GCC 11.3.0,GCC 11.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1920x1080,1920x1080,1920x1080 ,,"s","b","c" "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,6.55,6.49,6.47 "Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,6085667,6090000,6071000 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,6.66,6.64,6.63 "Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,11386667,11390000,11370000 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,4.35,4.28,4.28 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,6.67,6.68,6.68 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,18.08,18.61,17.68 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,7.34,7.57,7.48 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,9.88,10.13,10.05 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,9.93,10.38,10.10 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,10.00,10.10,10.05 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,4.24,4.35,4.27 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,4.24,4.28,4.22 "Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,5801667,5815000,5770000 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,4.21,4.34,4.33 "PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,4.88,4.95,4.92 "PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,2.96,3.00,3.00 "PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,2.98,2.97,3.01 "PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.01,2.97,3.04