ddd AMD Ryzen 7 7840HS testing with a NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS) and AMD Phoenix1 4GB on Tuxedo 22.04 via the Phoronix Test Suite. a: Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB + 31GB SanDisk 3.2Gen1, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K OS: Tuxedo 22.04, Kernel: 6.5.0-10022-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2880x1800 b: Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB + 31GB SanDisk 3.2Gen1, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K OS: Tuxedo 22.04, Kernel: 6.5.0-10022-tuxedo (x86_64), Desktop: KDE Plasma 5.27.10, Display Server: X Server 1.21.1.4, OpenGL: 4.6 Mesa 24.0.3-0tux2 (LLVM 15.0.7 DRM 3.54), Vulkan: 1.3.274, Compiler: GCC 11.4.0, File-System: ext4, Screen Resolution: 2880x1800 PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 12.12 |=================================================================== b . 12.22 |==================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 4.62 |===================================================================== b . 4.65 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 6.82 |===================================================================== b . 6.85 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 batches/sec > Higher Is Better a . 6.86 |===================================================================== b . 6.83 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 batches/sec > Higher Is Better a . 6.87 |===================================================================== b . 6.31 |=============================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 2.63 |===================================================================== b . 2.63 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 batches/sec > Higher Is Better a . 2.64 |===================================================================== b . 2.63 |===================================================================== PyTorch 2.2.1 Device: CPU - Batch Size: 64 - Model: ResNet-152 batches/sec > Higher Is Better a . 2.64 |===================================================================== b . 2.64 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 1.16 |===================================================================== b . 1.16 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 8.97 |===================================================================== b . 8.94 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better a . 1.45 |===================================================================== b . 1.45 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better a . 24.04 |==================================================================== b . 23.99 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better a . 26.78 |==================================================================== b . 26.76 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better a . 28.12 |==================================================================== b . 28.13 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 10.27 |==================================================================== b . 10.26 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 3.67 |===================================================================== b . 3.67 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better a . 29.23 |==================================================================== b . 29.14 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better a . 29.24 |==================================================================== b . 29.21 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better a . 14.04 |==================================================================== b . 14.05 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better a . 5.27 |===================================================================== b . 5.26 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better a . 14.26 |==================================================================== b . 14.24 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better a . 5.38 |===================================================================== b . 5.38 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better a . 14.40 |==================================================================== b . 14.36 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better a . 5.43 |===================================================================== b . 5.44 |===================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better a . 14.47 |==================================================================== b . 14.51 |==================================================================== TensorFlow 2.16.1 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better a . 5.45 |===================================================================== b . 5.46 |===================================================================== Timed Mesa Compilation 24.0 Time To Compile Seconds < Lower Is Better a . 134.66 |=================================================================== b . 134.72 |=================================================================== Blender 4.1 Blend File: BMW27 - Compute: CPU-Only Seconds < Lower Is Better a . 723.80 |=================================================================== b . 721.66 |=================================================================== Blender 4.1 Blend File: Junkshop - Compute: CPU-Only Seconds < Lower Is Better Blender 4.1 Blend File: Fishy Cat - Compute: CPU-Only Seconds < Lower Is Better a . 945.53 |=================================================================== b . 942.04 |=================================================================== Blender 4.1 Blend File: Pabellon Barcelona - Compute: CPU-Only Seconds < Lower Is Better a . 2316.52 |================================================================== b . 2314.29 |==================================================================