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 2311253-NE-TG843149007
tg
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:
Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
b:
Processor: Intel Core i7-1280P @ 4.70GHz (14 Cores / 20 Threads), Motherboard: MSI MS-14C6 (E14C6IMS.115 BIOS), Chipset: Intel Alder Lake PCH, Memory: 16GB, Disk: 1024GB Micron_3400_MTFDKBA1T0TFH, Graphics: MSI Intel ADL GT2 15GB (1450MHz), Audio: Realtek ALC274, Network: Intel Alder Lake-P PCH CNVi WiFi
OS: Ubuntu 23.10, Kernel: 6.5.0-10-generic (x86_64), Desktop: GNOME Shell 45.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 23.2.1-1ubuntu3, OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
ArrayFire 3.9
Test: BLAS CPU FP16
GFLOPS > Higher Is Better
a . 64.54 |====================================================================
b . 64.29 |====================================================================
ArrayFire 3.9
Test: BLAS CPU FP32
GFLOPS > Higher Is Better
a . 394.69 |===================================================================
b . 106.24 |==================
ArrayFire 3.9
Test: Conjugate Gradient CPU
ms < Lower Is Better
a . 13.42 |====================================================================
b . 13.12 |==================================================================
Blender 4.0
Blend File: BMW27 - Compute: CPU-Only
Seconds < Lower Is Better
a . 233.56 |===================================================
b . 308.05 |===================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Crown
Frames Per Second > Higher Is Better
a . 5.3366 |===================================================================
b . 5.3316 |===================================================================
Embree 4.3
Binary: Pathtracer ISPC - Model: Asian Dragon
Frames Per Second > Higher Is Better
a . 7.143 |====================================================================
b . 7.111 |====================================================================
Java SciMark 2.2
Computational Test: Composite
Mflops > Higher Is Better
a . 2908.79 |==================================================================
b . 2916.23 |==================================================================
Java SciMark 2.2
Computational Test: Monte Carlo
Mflops > Higher Is Better
a . 1245.28 |==================================================================
b . 1246.36 |==================================================================
Java SciMark 2.2
Computational Test: Fast Fourier Transform
Mflops > Higher Is Better
a . 719.93 |===================================================================
b . 725.12 |===================================================================
Java SciMark 2.2
Computational Test: Sparse Matrix Multiply
Mflops > Higher Is Better
a . 3708.47 |==================================================================
b . 3733.82 |==================================================================
Java SciMark 2.2
Computational Test: Dense LU Matrix Factorization
Mflops > Higher Is Better
a . 6529.95 |==================================================================
b . 6531.95 |==================================================================
Java SciMark 2.2
Computational Test: Jacobi Successive Over-Relaxation
Mflops > Higher Is Better
a . 2340.35 |==================================================================
b . 2343.93 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 20.04 |====================================================================
b . 15.47 |====================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 9.19 |=====================================================================
b . 7.33 |=======================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 13.77 |====================================================================
b . 10.75 |=====================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-50
batches/sec > Higher Is Better
a . 13.78 |====================================================================
b . 10.77 |=====================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-50
batches/sec > Higher Is Better
a . 13.76 |====================================================================
b . 10.75 |=====================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 5.44 |=====================================================================
b . 4.27 |======================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: ResNet-152
batches/sec > Higher Is Better
a . 5.40 |=====================================================================
b . 3.84 |=================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: ResNet-152
batches/sec > Higher Is Better
a . 5.45 |=====================================================================
b . 4.29 |======================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 5.52 |=====================================================================
b . 4.49 |========================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 3.39 |=====================================================================
b . 2.52 |===================================================
PyTorch 2.1
Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 3.48 |=====================================================================
b . 2.99 |===========================================================
PyTorch 2.1
Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 3.23 |=====================================================================
b . 2.97 |===============================================================
WebP2 Image Encode 20220823
Encode Settings: Default
MP/s > Higher Is Better
a . 7.05 |=====================================================================
b . 7.04 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 75, Compression Effort 7
MP/s > Higher Is Better
a . 0.09 |=====================================================================
b . 0.09 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 95, Compression Effort 7
MP/s > Higher Is Better
a . 0.04 |=====================================================================
b . 0.04 |=====================================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Compression Effort 5
MP/s > Higher Is Better
a . 3.60 |=====================================================================
b . 3.15 |============================================================
WebP2 Image Encode 20220823
Encode Settings: Quality 100, Lossless Compression
MP/s > Higher Is Better
a . 0.01 |=====================================================================
b . 0.01 |=====================================================================