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Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.10 via the Phoronix Test Suite.

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February 17
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ddd Intel Core i7-1065G7 testing with a Dell 06CDVY (1.0.9 BIOS) and Intel Iris Plus ICL GT2 16GB on Ubuntu 23.10 via the Phoronix Test Suite. a: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP 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~git2312230600.551924~oibaf~m (git-551924a 2023-12-23 mantic-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 b: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP 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~git2312230600.551924~oibaf~m (git-551924a 2023-12-23 mantic-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 c: Processor: Intel Core i7-1065G7 @ 3.90GHz (4 Cores / 8 Threads), Motherboard: Dell 06CDVY (1.0.9 BIOS), Chipset: Intel Ice Lake-LP DRAM, Memory: 16GB, Disk: Toshiba KBG40ZPZ512G NVMe 512GB, Graphics: Intel Iris Plus ICL GT2 16GB (1100MHz), Audio: Realtek ALC289, Network: Intel Ice Lake-LP 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~git2312230600.551924~oibaf~m (git-551924a 2023-12-23 mantic-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200 Intel Open Image Denoise 2.2 Run: RTLightmap.hdr.4096x4096 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.05 |===================================================================== b . 0.05 |===================================================================== c . 0.05 |===================================================================== GROMACS 2024 Implementation: MPI CPU - Input: water_GMX50_bare Ns Per Day > Higher Is Better a . 0.378 |=================================================================== b . 0.386 |==================================================================== c . 0.386 |==================================================================== NAMD 3.0b6 Input: STMV with 1,066,628 Atoms ns/day > Higher Is Better a . 0.10854 |================================================================== b . 0.10144 |============================================================== c . 0.10559 |================================================================ Intel Open Image Denoise 2.2 Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.10 |===================================================================== b . 0.10 |===================================================================== c . 0.10 |===================================================================== Intel Open Image Denoise 2.2 Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Only Images / Sec > Higher Is Better a . 0.10 |===================================================================== b . 0.10 |===================================================================== c . 0.10 |===================================================================== Llamafile 0.6 Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPU Tokens Per Second > Higher Is Better a . 3.84 |===================================================================== b . 3.72 |=================================================================== c . 3.83 |===================================================================== NAMD 3.0b6 Input: ATPase with 327,506 Atoms ns/day > Higher Is Better a . 0.43368 |================================================================== b . 0.32486 |================================================= c . 0.42965 |================================================================= CacheBench Test: Read MB/s > Higher Is Better a . 7352.49 |================================================================== b . 7275.83 |================================================================= c . 7348.69 |================================================================== CacheBench Test: Read / Modify / Write MB/s > Higher Is Better a . 87101.10 |================================================================= b . 86658.60 |================================================================= c . 87037.95 |================================================================= CacheBench Test: Write MB/s > Higher Is Better a . 89660.24 |================================================================= b . 89703.91 |================================================================= c . 90114.46 |================================================================= Llamafile 0.6 Test: llava-v1.5-7b-q4 - Acceleration: CPU Tokens Per Second > Higher Is Better a . 5.99 |===================================================================== b . 5.99 |===================================================================== c . 5.97 |===================================================================== ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 3289.87 |================================================================ b . 3217.45 |============================================================== c . 3403.08 |================================================================== ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 0.303962 |================================================================ b . 0.310804 |================================================================= c . 0.293851 |============================================================= ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 2174.83 |=========================================== b . 2178.30 |=========================================== c . 3352.97 |================================================================== ONNX Runtime 1.17 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 0.459805 |================================================================= b . 0.459073 |================================================================= c . 0.298242 |========================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 38.44 |==================================================================== b . 38.40 |==================================================================== c . 38.45 |==================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 26.01 |==================================================================== b . 26.04 |==================================================================== c . 26.01 |==================================================================== ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 50.79 |==================================================================== b . 49.44 |================================================================== c . 47.72 |================================================================ ONNX Runtime 1.17 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 19.69 |================================================================ b . 20.22 |================================================================== c . 20.95 |==================================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 474.62 |=================================================================== b . 437.70 |============================================================== c . 439.51 |============================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 2.10689 |============================================================= b . 2.28464 |================================================================== c . 2.27521 |================================================================== ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 16.22 |==================================================================== b . 15.81 |================================================================== c . 16.25 |==================================================================== ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 61.61 |================================================================== b . 63.22 |==================================================================== c . 61.51 |================================================================== ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 12.46 |============================================================= b . 13.96 |==================================================================== c . 12.59 |============================================================= ONNX Runtime 1.17 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 80.19 |==================================================================== b . 71.61 |============================================================= c . 79.34 |=================================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 317.00 |=================================================================== b . 316.81 |=================================================================== c . 317.79 |=================================================================== ONNX Runtime 1.17 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 3.15455 |================================================================== b . 3.15637 |================================================================== c . 3.14672 |================================================================== ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 333.66 |=================================================================== b . 323.28 |================================================================= c . 327.96 |================================================================== ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 2.99698 |================================================================ b . 3.09320 |================================================================== c . 3.04906 |================================================================= ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 242.40 |======================================================= b . 241.72 |======================================================= c . 295.62 |=================================================================== ONNX Runtime 1.17 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 4.12523 |================================================================== b . 4.13691 |================================================================== c . 3.38264 |====================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 148.94 |=================================================================== b . 142.89 |================================================================ c . 136.70 |============================================================= ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 6.71417 |============================================================= b . 6.99840 |=============================================================== c . 7.31540 |================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 11.20 |==================================================================== b . 11.16 |==================================================================== c . 11.05 |=================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 89.29 |=================================================================== b . 89.62 |=================================================================== c . 90.46 |==================================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 100.52 |=================================================================== b . 100.57 |=================================================================== c . 100.22 |=================================================================== ONNX Runtime 1.17 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 9.94812 |================================================================== b . 9.94281 |================================================================== c . 9.97734 |================================================================== ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 8.46498 |================================================ b . 8.41923 |================================================ c . 11.37430 |================================================================= ONNX Runtime 1.17 Model: T5 Encoder - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 118.10 |=================================================================== b . 118.74 |=================================================================== c . 87.90 |================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 4.91418 |================================================================== b . 4.87760 |================================================================== c . 4.86090 |================================================================= ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 203.38 |================================================================== b . 204.92 |=================================================================== c . 205.61 |=================================================================== ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 4.09193 |================================================================== b . 4.05954 |================================================================= c . 4.04501 |================================================================= ONNX Runtime 1.17 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 244.25 |================================================================== b . 246.19 |=================================================================== c . 247.08 |=================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 13.53 |==================================================================== b . 13.61 |==================================================================== c . 13.23 |================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 73.90 |=================================================================== b . 73.47 |================================================================== c . 75.56 |==================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 11.48 |==================================================================== b . 11.48 |==================================================================== c . 11.25 |=================================================================== ONNX Runtime 1.17 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 87.12 |=================================================================== b . 87.09 |=================================================================== c . 88.85 |==================================================================== ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Inference Time Cost (ms) < Lower Is Better a . 37.71 |==================================================================== b . 37.30 |=================================================================== c . 37.52 |==================================================================== ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better a . 26.52 |=================================================================== b . 26.81 |==================================================================== c . 26.65 |==================================================================== ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inference Time Cost (ms) < Lower Is Better a . 50.22 |==================================================================== b . 49.64 |=================================================================== c . 48.20 |================================================================= ONNX Runtime 1.17 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better a . 19.91 |================================================================= b . 20.14 |================================================================== c . 20.75 |==================================================================== dav1d 1.4 Video Input: Summer Nature 4K FPS > Higher Is Better a . 72.82 |==================================================================== b . 64.05 |============================================================ c . 71.64 |=================================================================== Y-Cruncher 0.8.3 Pi Digits To Calculate: 500M Seconds < Lower Is Better a . 48.15 |==================================================================== b . 48.38 |==================================================================== c . 48.39 |==================================================================== dav1d 1.4 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better a . 198.52 |=================================================================== b . 197.05 |=================================================================== c . 198.05 |=================================================================== dav1d 1.4 Video Input: Chimera 1080p FPS > Higher Is Better a . 308.90 |=================================================================== b . 308.37 |=================================================================== c . 308.61 |=================================================================== LZ4 Compression 1.9.4 Compression Level: 9 - Decompression Speed MB/s > Higher Is Better a . 3529.6 |=================================================================== b . 3488.2 |================================================================== c . 3534.8 |=================================================================== LZ4 Compression 1.9.4 Compression Level: 9 - Compression Speed MB/s > Higher Is Better a . 34.47 |==================================================================== b . 34.25 |==================================================================== c . 34.23 |==================================================================== LZ4 Compression 1.9.4 Compression Level: 1 - Decompression Speed MB/s > Higher Is Better a . 3640.2 |=================================================================== b . 3631.1 |=================================================================== c . 3641.2 |=================================================================== LZ4 Compression 1.9.4 Compression Level: 1 - Compression Speed MB/s > Higher Is Better a . 626.46 |=================================================================== b . 627.46 |=================================================================== c . 626.25 |=================================================================== LZ4 Compression 1.9.4 Compression Level: 3 - Decompression Speed MB/s > Higher Is Better a . 3344.2 |=================================================================== b . 3354.8 |=================================================================== c . 3338.6 |=================================================================== LZ4 Compression 1.9.4 Compression Level: 3 - Compression Speed MB/s > Higher Is Better a . 99.18 |==================================================================== b . 99.06 |==================================================================== c . 98.49 |==================================================================== dav1d 1.4 Video Input: Summer Nature 1080p FPS > Higher Is Better a . 288.67 |=================================================================== b . 284.16 |================================================================== c . 285.25 |==================================================================