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 2401082-NE-FHH79675740
fhh
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: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0~git2312190600.51bf1b~oibaf~m (git-51bf1b2 2023-12-19 mantic-oibaf-ppa), 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: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.0~git2312190600.51bf1b~oibaf~m (git-51bf1b2 2023-12-19 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1080
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-50
batches/sec > Higher Is Better
a . 26.15 |====================================================================
b . 23.66 |==============================================================
Quicksilver 20230818
Input: CORAL2 P2
Figure Of Merit > Higher Is Better
a . 9076000 |=================================================================
b . 9247000 |==================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 6.08 |=====================================================================
b . 6.00 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: VGG-16
images/sec > Higher Is Better
a . 2.69 |=====================================================================
b . 2.67 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: Memory Bandwidth Coalesced Read
GB/s > Higher Is Better
a . 64.85 |====================================================================
b . 64.42 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 1 - Model: ResNet-152
batches/sec > Higher Is Better
a . 10.10 |====================================================================
b . 10.15 |====================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
a . 67.89 |====================================================================
b . 68.12 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: AlexNet
images/sec > Higher Is Better
a . 15.13 |====================================================================
b . 15.18 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l
batches/sec > Higher Is Better
a . 3.68 |=====================================================================
b . 3.67 |=====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: GoogLeNet
images/sec > Higher Is Better
a . 33.91 |====================================================================
b . 33.82 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: Memory Bandwidth Coalesced Write
GB/s > Higher Is Better
a . 59.99 |====================================================================
b . 60.11 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-152
batches/sec > Higher Is Better
a . 6.04 |=====================================================================
b . 6.05 |=====================================================================
Y-Cruncher 0.8.3
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
a . 28.62 |====================================================================
b . 28.58 |====================================================================
Quicksilver 20230818
Input: CTS2
Figure Of Merit > Higher Is Better
a . 7066000 |==================================================================
b . 7074000 |==================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT16 Compute
TIOPs/s > Higher Is Better
a . 7.549 |====================================================================
b . 7.547 |====================================================================
TensorFlow 2.12
Device: CPU - Batch Size: 1 - Model: ResNet-50
images/sec > Higher Is Better
a . 10.23 |====================================================================
b . 10.23 |====================================================================
PyTorch 2.1
Device: CPU - Batch Size: 16 - Model: ResNet-50
batches/sec > Higher Is Better
a . 15.35 |====================================================================
b . 15.35 |====================================================================
Quicksilver 20230818
Input: CORAL2 P1
Figure Of Merit > Higher Is Better
a . 7951000 |==================================================================
b . 7951000 |==================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT8 Compute
TIOPs/s > Higher Is Better
a . 1.386 |====================================================================
b . 1.386 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT32 Compute
TIOPs/s > Higher Is Better
a . 0.683 |====================================================================
b . 0.683 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: INT64 Compute
TIOPs/s > Higher Is Better
a . 0.161 |====================================================================
b . 0.161 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: FP16 Compute
TFLOPs/s > Higher Is Better
a . 3.492 |====================================================================
b . 3.492 |====================================================================
ProjectPhysX OpenCL-Benchmark 1.2
Operation: FP32 Compute
TFLOPs/s > Higher Is Better
a . 1.891 |====================================================================
b . 1.891 |====================================================================