Intel Core i7-1280P testing with a MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 8GB 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 2403295-NE-DLDL9539171
dldl
Intel Core i7-1280P testing with a MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 8GB on Ubuntu 23.10 via the Phoronix Test Suite.
,,"a","b"
Processor,,Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads),Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads)
Motherboard,,MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS),MSI Prestige 14Evo A12M MS-14C6 (E14C6IMS.115 BIOS)
Chipset,,Intel Alder Lake PCH,Intel Alder Lake PCH
Memory,,8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-,8 x 2GB LPDDR4-4267MT/s SK Hynix H9HCNNNCPMMLXR-
Disk,,1024GB Micron_3400_MTFDKBA1T0TFH,1024GB Micron_3400_MTFDKBA1T0TFH
Graphics,,MSI Intel ADL GT2 8GB (1450MHz),MSI Intel ADL GT2 8GB (1450MHz)
Audio,,Realtek ALC274,Realtek ALC274
Network,,Intel Alder Lake-P PCH CNVi WiFi,Intel Alder Lake-P PCH CNVi WiFi
OS,,Ubuntu 23.10,Ubuntu 23.10
Kernel,,6.7.0-060700-generic (x86_64),6.7.0-060700-generic (x86_64)
Desktop,,GNOME Shell 45.2,GNOME Shell 45.2
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 24.1~git2401210600.c3a64f~oibaf~m (git-c3a64f8 2024-01-21 mantic-oibaf-ppa),4.6 Mesa 24.1~git2401210600.c3a64f~oibaf~m (git-c3a64f8 2024-01-21 mantic-oibaf-ppa)
OpenCL,,OpenCL 3.0,OpenCL 3.0
Compiler,,GCC 13.2.0,GCC 13.2.0
File-System,,ext4,ext4
Screen Resolution,,1920x1080,1920x1080
,,"a","b"
"Blender - Blend File: Barbershop - Compute: CPU-Only (sec)",LIB,2138.39,2132.05
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,122838,123265
"Blender - Blend File: Pabellon Barcelona - Compute: CPU-Only (sec)",LIB,692.47,689.24
"Blender - Blend File: Classroom - Compute: CPU-Only (sec)",LIB,573.49,561.44
"TensorFlow - Device: CPU - Batch Size: 64 - Model: ResNet-50 (images/sec)",HIB,14.15,14.18
"PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.68,4.03
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,4.20,4.07
"PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,4.21,4.20
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,5.41,6.01
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,5.46,6.03
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,5.99,6.00
"Blender - Blend File: Fishy Cat - Compute: CPU-Only (sec)",LIB,283.45,282.54
"Blender - Blend File: Junkshop - Compute: CPU-Only (sec)",LIB,281.82,279.49
"TensorFlow - Device: CPU - Batch Size: 32 - Model: ResNet-50 (images/sec)",HIB,13.87,13.93
"Stockfish - Chess Benchmark (Nodes/s)",HIB,9022315,9265428
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,201.86,201.47
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.92,6.10
"TensorFlow - Device: CPU - Batch Size: 64 - Model: GoogLeNet (images/sec)",HIB,42.89,43.05
"TensorFlow - Device: CPU - Batch Size: 16 - Model: ResNet-50 (images/sec)",HIB,13.35,13.39
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,13.97,13.96
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,13.89,14.06
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,8.60,10.12
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,15.38,15.37
"TensorFlow - Device: CPU - Batch Size: 32 - Model: GoogLeNet (images/sec)",HIB,43.23,43.33
"TensorFlow - Device: CPU - Batch Size: 64 - Model: AlexNet (images/sec)",HIB,94.2,93.82
"RocksDB - Test: Random Fill Sync (Op/s)",HIB,10748,10370
"RocksDB - Test: Random Fill (Op/s)",HIB,640601,642443
"RocksDB - Test: Overwrite (Op/s)",HIB,638938,641031
"RocksDB - Test: Update Random (Op/s)",HIB,328045,322860
"RocksDB - Test: Read While Writing (Op/s)",HIB,1726017,1562855
"RocksDB - Test: Read Random Write Random (Op/s)",HIB,1210989,1205546
"RocksDB - Test: Random Read (Op/s)",HIB,42403226,42180062
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,27.59,23.28
"Timed Mesa Compilation - Time To Compile (sec)",LIB,44.071,43.435
"TensorFlow - Device: CPU - Batch Size: 16 - Model: GoogLeNet (images/sec)",HIB,45.74,45.75
"TensorFlow - Device: CPU - Batch Size: 32 - Model: AlexNet (images/sec)",HIB,90.7,90.71
"TensorFlow - Device: CPU - Batch Size: 16 - Model: AlexNet (images/sec)",HIB,83.8,83.64
"RocksDB - Test: Sequential Fill (Op/s)",HIB,945889,899566
"TensorFlow - Device: CPU - Batch Size: 1 - Model: ResNet-50 (images/sec)",HIB,10.47,10.48
"TensorFlow - Device: CPU - Batch Size: 1 - Model: AlexNet (images/sec)",HIB,15.39,15.44
"TensorFlow - Device: CPU - Batch Size: 1 - Model: GoogLeNet (images/sec)",HIB,33.99,34