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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403279-NE-DDD74063511
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

CPU Massive 2 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Multi-Core 2 Tests
Python Tests 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
a
March 26
  6 Hours, 11 Minutes
b
March 27
  6 Hours, 11 Minutes
Invert Hiding All Results Option
  6 Hours, 11 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

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","b" Processor,,AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads),AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads) Motherboard,,NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS),NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS) Chipset,,AMD Device 14e8,AMD Device 14e8 Memory,,4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT,4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT Disk,,2000GB Samsung SSD 980 PRO 2TB + 31GB SanDisk 3.2Gen1,2000GB Samsung SSD 980 PRO 2TB + 31GB SanDisk 3.2Gen1 Graphics,,AMD Phoenix1 4GB (2700/800MHz),AMD Phoenix1 4GB (2700/800MHz) Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio Network,,MEDIATEK MT7921K,MEDIATEK MT7921K OS,,Tuxedo 22.04,Tuxedo 22.04 Kernel,,6.5.0-10022-tuxedo (x86_64),6.5.0-10022-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,,2880x1800,2880x1800 ,,"a","b" "Timed Mesa Compilation - Time To Compile (sec)",LIB,134.66,134.718 "TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,1.16,1.16 "TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,8.97,8.94 "TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,1.45,1.45 "TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,24.04,23.99 "TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,26.78,26.76 "TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,28.12,28.13 "TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,10.27,10.26 "TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,3.67,3.67 "TensorFlow - Device: CPU - Batch Size: 256 - Model: AlexNet (images/sec)",HIB,29.23,29.14 "TensorFlow - Device: CPU - Batch Size: 512 - Model: AlexNet (images/sec)",HIB,29.24,29.21 "TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,14.04,14.05 "TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,5.27,5.26 "TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,14.26,14.24 "TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,5.38,5.38 "TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,14.4,14.36 "TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,5.43,5.44 "TensorFlow - Device: CPU - Batch Size: 256 - Model: GoogLeNet (images/sec)",HIB,14.47,14.51 "TensorFlow - Device: CPU - Batch Size: 256 - Model: ResNet-50 (images/sec)",HIB,5.45,5.46 "Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,723.8,721.66 "Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,, "Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,945.53,942.04 "Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,2316.52,2314.29 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,12.12,12.22 "PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,4.62,4.65 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,6.82,6.85 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,6.86,6.83 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,6.87,6.31 "PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,2.63,2.63 "PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,2.64,2.63 "PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,2.64,2.64