AMD Ryzen 7 7840U testing with a Framework FRANMDCP07 (03.03 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.10 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 2401082-NE-LG897017407
lg
AMD Ryzen 7 7840U testing with a Framework FRANMDCP07 (03.03 BIOS) and AMD Phoenix1 512MB on Ubuntu 23.10 via the Phoronix Test Suite.
,,"a","b","c"
Processor,,AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads),AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads),AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads)
Motherboard,,Framework FRANMDCP07 (03.03 BIOS),Framework FRANMDCP07 (03.03 BIOS),Framework FRANMDCP07 (03.03 BIOS)
Chipset,,AMD Device 14e8,AMD Device 14e8,AMD Device 14e8
Memory,,16GB,16GB,16GB
Disk,,512GB Western Digital WD PC SN740 SDDPNQD-512G,512GB Western Digital WD PC SN740 SDDPNQD-512G,512GB Western Digital WD PC SN740 SDDPNQD-512G
Graphics,,AMD Phoenix1 512MB (2700/2800MHz),AMD Phoenix1 512MB (2700/2800MHz),AMD Phoenix1 512MB (2700/2800MHz)
Audio,,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio,AMD Rembrandt Radeon HD Audio
Network,,MEDIATEK MT7922 802.11ax PCI,MEDIATEK MT7922 802.11ax PCI,MEDIATEK MT7922 802.11ax PCI
OS,,Ubuntu 23.10,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.7.0-060700rc5-generic (x86_64),6.7.0-060700rc5-generic (x86_64),6.7.0-060700rc5-generic (x86_64)
Desktop,,GNOME Shell 45.1,GNOME Shell 45.1,GNOME Shell 45.1
Display Server,,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland,X Server 1.21.1.7 + Wayland
OpenGL,,4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56),4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56),4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56)
Compiler,,GCC 13.2.0,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4,ext4
Screen Resolution,,2256x1504,2256x1504,2256x1504
,,"a","b","c"
"Quicksilver - Input: CTS2 (Figure Of Merit)",HIB,10580000,10910000,10510000
"TensorFlow - Device: CPU - Batch Size: 16 - Model: VGG-16 (images/sec)",HIB,7.46,7.46,7.47
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,8.52,8.48,8.40
"Quicksilver - Input: CORAL2 P2 (Figure Of Merit)",HIB,21860000,21860000,20910000
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,12.50,12.37,12.50
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,11.95,11.88,11.93
"Quicksilver - Input: CORAL2 P1 (Figure Of Merit)",HIB,11580000,11610000,11500000
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,21.85,21.84,21.84
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,28.64,27.86,29.46
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,20.10,19.93,19.75
"Y-Cruncher - Pi Digits To Calculate: 1B (sec)",LIB,37.131,37.21,37.507
"TensorFlow - Device: CPU - Batch Size: 1 - Model: VGG-16 (images/sec)",HIB,3.42,3.42,3.41
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,65.04,65.09,65.56
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,49.42,47.70,50.00
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,89.66,88.85,89.39
"Y-Cruncher - Pi Digits To Calculate: 500M (sec)",LIB,16.745,16.702,16.693
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,11.35,11.38,11.46
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,11.09,11.11,11.09
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,42.37,41.59,42.3