dgk Intel Core i7-1185G7 testing with a Dell 0DXP1F (3.7.0 BIOS) and Intel Xe TGL GT2 15GB on Ubuntu 23.10 via the Phoronix Test Suite. s: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 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~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 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~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core i7-1185G7 @ 4.80GHz (4 Cores / 8 Threads), Motherboard: Dell 0DXP1F (3.7.0 BIOS), Chipset: Intel Tiger Lake-LP, Memory: 16GB, Disk: Micron 2300 NVMe 512GB, Graphics: Intel Xe TGL GT2 15GB (1350MHz), Audio: Realtek ALC289, Network: Intel Wi-Fi 6 AX201 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~git2312220600.68c53e~oibaf~m (git-68c53ec 2023-12-22 mantic-oibaf-ppa), OpenCL: OpenCL 3.0, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP32 Compute TFLOPs/s > Higher Is Better s . 1.750 |==================================================================== b . 1.751 |==================================================================== c . 1.751 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: FP16 Compute TFLOPs/s > Higher Is Better s . 3.232 |==================================================================== b . 3.235 |==================================================================== c . 3.236 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT64 Compute TIOPs/s > Higher Is Better s . 0.130 |=================================================================== b . 0.131 |==================================================================== c . 0.130 |=================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT32 Compute TIOPs/s > Higher Is Better s . 0.635 |==================================================================== b . 0.634 |==================================================================== c . 0.635 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT16 Compute TIOPs/s > Higher Is Better s . 6.780 |==================================================================== b . 6.781 |==================================================================== c . 6.783 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: INT8 Compute TIOPs/s > Higher Is Better s . 1.313 |==================================================================== b . 1.314 |==================================================================== c . 1.316 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Read GB/s > Higher Is Better s . 59.37 |==================================================================== b . 59.48 |==================================================================== c . 59.40 |==================================================================== ProjectPhysX OpenCL-Benchmark 1.2 Operation: Memory Bandwidth Coalesced Write GB/s > Higher Is Better s . 61.46 |==================================================================== b . 61.30 |==================================================================== c . 61.31 |==================================================================== Quicksilver 20230818 Input: CTS2 Figure Of Merit > Higher Is Better s . 4216000 |================================================================== b . 4129000 |================================================================= c . 4181000 |================================================================= Quicksilver 20230818 Input: CORAL2 P1 Figure Of Merit > Higher Is Better s . 4330000 |================================================================== b . 4241000 |================================================================= c . 4292000 |================================================================= Quicksilver 20230818 Input: CORAL2 P2 Figure Of Merit > Higher Is Better s . 7935000 |================================================================== b . 7942000 |================================================================== c . 7900000 |================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 1B Seconds < Lower Is Better s . 60.61 |==================================================================== b . 60.64 |==================================================================== c . 60.80 |==================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better s . 27.04 |==================================================================== b . 27.21 |==================================================================== c . 27.05 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 batches/sec > Higher Is Better s . 25.06 |==================================================================== b . 24.96 |==================================================================== c . 24.87 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 batches/sec > Higher Is Better s . 10.10 |==================================================================== b . 10.10 |==================================================================== c . 10.02 |=================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 batches/sec > Higher Is Better s . 14.13 |==================================================================== b . 14.05 |==================================================================== c . 14.11 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 batches/sec > Higher Is Better s . 5.67 |==================================================================== b . 5.76 |===================================================================== c . 5.70 |==================================================================== PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l batches/sec > Higher Is Better s . 7.87 |===================================================================== b . 7.52 |================================================================== c . 7.55 |================================================================== PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l batches/sec > Higher Is Better s . 4.25 |===================================================================== b . 4.24 |===================================================================== c . 4.21 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: VGG-16 images/sec > Higher Is Better s . 2.00 |==================================================================== b . 2.00 |==================================================================== c . 2.02 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: AlexNet images/sec > Higher Is Better s . 13.08 |==================================================================== b . 13.05 |==================================================================== c . 13.08 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better s . 3.34 |===================================================================== b . 3.34 |===================================================================== c . 3.34 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better s . 46.91 |=================================================================== b . 47.38 |==================================================================== c . 47.19 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: GoogLeNet images/sec > Higher Is Better s . 24.66 |=================================================================== b . 24.93 |==================================================================== c . 24.82 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 1 - Model: ResNet-50 images/sec > Higher Is Better s . 8.30 |===================================================================== b . 8.28 |===================================================================== c . 8.25 |===================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better s . 30.94 |==================================================================== b . 30.45 |=================================================================== c . 31.02 |==================================================================== TensorFlow 2.12 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better s . 9.69 |===================================================================== b . 9.67 |===================================================================== c . 9.67 |===================================================================== Speedb 2.7 Test: Random Fill Op/s > Higher Is Better s . 469349 |=================================================================== b . 457177 |================================================================= c . 449590 |================================================================ Speedb 2.7 Test: Random Read Op/s > Higher Is Better s . 14935067 |================================================================= b . 14560540 |=============================================================== c . 14863698 |================================================================= Speedb 2.7 Test: Update Random Op/s > Higher Is Better s . 313862 |=================================================================== b . 311047 |================================================================== c . 311258 |================================================================== Speedb 2.7 Test: Sequential Fill Op/s > Higher Is Better s . 515405 |=================================================================== b . 465625 |============================================================= c . 468338 |============================================================= Speedb 2.7 Test: Random Fill Sync Op/s > Higher Is Better s . 6137 |===================================================================== b . 5834 |================================================================== c . 6068 |==================================================================== Speedb 2.7 Test: Read While Writing Op/s > Higher Is Better s . 924588 |=================================================================== b . 891013 |================================================================ c . 929902 |=================================================================== Speedb 2.7 Test: Read Random Write Random Op/s > Higher Is Better s . 798428 |=================================================================== b . 784239 |================================================================== c . 794461 |===================================================================