Tests for a future article. Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB 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 2311250-NE-TG983149007
tg
Tests for a future article. Intel Core i7-1280P testing with a MSI MS-14C6 (E14C6IMS.115 BIOS) and MSI Intel ADL GT2 15GB 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 MS-14C6 (E14C6IMS.115 BIOS),MSI MS-14C6 (E14C6IMS.115 BIOS)
Chipset,,Intel Alder Lake PCH,Intel Alder Lake PCH
Memory,,16GB,16GB
Disk,,1024GB Micron_3400_MTFDKBA1T0TFH,1024GB Micron_3400_MTFDKBA1T0TFH
Graphics,,MSI Intel ADL GT2 15GB (1450MHz),MSI Intel ADL GT2 15GB (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,,6.5.0-10-generic (x86_64),6.5.0-10-generic (x86_64)
Desktop,,GNOME Shell 45.0,GNOME Shell 45.0
Display Server,,X Server + Wayland,X Server + Wayland
OpenGL,,4.6 Mesa 23.2.1-1ubuntu3,4.6 Mesa 23.2.1-1ubuntu3
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"
"ArrayFire - Test: BLAS CPU FP32 (GFLOPS)",HIB,394.686,106.235
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-152 (batches/sec)",HIB,5.40,3.84
"PyTorch - Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.39,2.52
"Blender - Blend File: BMW27 - Compute: CPU-Only (sec)",LIB,233.56,308.05
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-50 (batches/sec)",HIB,20.04,15.47
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-50 (batches/sec)",HIB,13.77,10.75
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-50 (batches/sec)",HIB,13.76,10.75
"PyTorch - Device: CPU - Batch Size: 32 - Model: ResNet-50 (batches/sec)",HIB,13.78,10.77
"PyTorch - Device: CPU - Batch Size: 16 - Model: ResNet-152 (batches/sec)",HIB,5.44,4.27
"PyTorch - Device: CPU - Batch Size: 64 - Model: ResNet-152 (batches/sec)",HIB,5.45,4.29
"PyTorch - Device: CPU - Batch Size: 1 - Model: ResNet-152 (batches/sec)",HIB,9.19,7.33
"PyTorch - Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l (batches/sec)",HIB,5.52,4.49
"PyTorch - Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.48,2.99
"WebP2 Image Encode - Encode Settings: Quality 100, Compression Effort 5 (MP/s)",HIB,3.60,3.15
"PyTorch - Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l (batches/sec)",HIB,3.23,2.97
"ArrayFire - Test: Conjugate Gradient CPU (ms)",LIB,13.42,13.12
"Java SciMark - Computational Test: Fast Fourier Transform (Mflops)",HIB,719.93,725.12
"Java SciMark - Computational Test: Sparse Matrix Multiply (Mflops)",HIB,3708.47,3733.82
"Embree - Binary: Pathtracer ISPC - Model: Asian Dragon (FPS)",HIB,7.143,7.111
"ArrayFire - Test: BLAS CPU FP16 (GFLOPS)",HIB,64.539,64.2895
"Java SciMark - Computational Test: Composite (Mflops)",HIB,2908.79,2916.23
"Java SciMark - Computational Test: Jacobi Successive Over-Relaxation (Mflops)",HIB,2340.35,2343.93
"WebP2 Image Encode - Encode Settings: Default (MP/s)",HIB,7.05,7.04
"Embree - Binary: Pathtracer ISPC - Model: Crown (FPS)",HIB,5.3366,5.3316
"Java SciMark - Computational Test: Monte Carlo (Mflops)",HIB,1245.28,1246.36
"Java SciMark - Computational Test: Dense LU Matrix Factorization (Mflops)",HIB,6529.95,6531.95
"WebP2 Image Encode - Encode Settings: Quality 100, Lossless Compression (MP/s)",HIB,0.01,0.01
"WebP2 Image Encode - Encode Settings: Quality 95, Compression Effort 7 (MP/s)",HIB,0.04,0.04
"WebP2 Image Encode - Encode Settings: Quality 75, Compression Effort 7 (MP/s)",HIB,0.09,0.09