ddd

Tests for a future article. 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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403270-NE-DDD54163511
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ddd Tests for a future article. 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 |==================================================================