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 |============================================================== 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 |================================================================== 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 |==================================================================== 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 |==================================================================== 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 |==================================================================== 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 |====================================================================