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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 2401086-NE-FHH73775740
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HPC - High Performance Computing 2 Tests
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fhh 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: 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 ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP32 Compute TFLOPs/s > Higher Is Better a . 1.891 |==================================================================== b . 1.891 |==================================================================== 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: INT64 Compute TIOPs/s > Higher Is Better a . 0.161 |==================================================================== b . 0.161 |==================================================================== 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: INT16 Compute TIOPs/s > Higher Is Better a . 7.549 |==================================================================== b . 7.547 |==================================================================== 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: Memory Bandwidth Coalesced Read GB/s > Higher Is Better a . 64.85 |==================================================================== b . 64.42 |==================================================================== 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: 1 - Model: ResNet-50 batches/sec > Higher Is Better a . 26.15 |==================================================================== b . 23.66 |============================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better a . 10.10 |==================================================================== b . 10.15 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better a . 15.35 |==================================================================== b . 15.35 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better a . 6.04 |===================================================================== b . 6.05 |===================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 6.08 |===================================================================== b . 6.00 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better a . 3.68 |===================================================================== b . 3.67 |===================================================================== Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better a . 7066000 |================================================================== b . 7074000 |================================================================== Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better a . 7951000 |================================================================== b . 7951000 |================================================================== Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better a . 9076000 |================================================================= b . 9247000 |================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better a . 2.69 |===================================================================== b . 2.67 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better a . 15.13 |==================================================================== b . 15.18 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better a . 33.91 |==================================================================== b . 33.82 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better a . 10.23 |==================================================================== b . 10.23 |==================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better a . 67.89 |==================================================================== b . 68.12 |==================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 28.62 |==================================================================== b . 28.58 |====================================================================