ml_results ASUS ROG G14 ASUS ROG G14: Processor: AMD Ryzen 9 6900HS @ 3.30GHz (8 Cores / 16 Threads), Motherboard: ASUS GA402RJ v1.0 (GA402RJ.317 BIOS), Chipset: AMD 17h-19h PCIe Root Complex, Memory: 16GB, Disk: 1024GB Micron_2450_MTFDKBA1T0TFK, Graphics: ASUS AMD Radeon RX 6650 XT / 6700S 6800S (2435/875MHz), Audio: AMD Navi 21/23, Monitor: TL140ADXP01, Network: MEDIATEK Device 7922 OS: Ubuntu 22.04, Kernel: 5.19.0-35-generic (x86_64), Desktop: GNOME Shell 42.5, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.3.0-devel (LLVM 15.0.3 DRM 3.47), OpenCL: OpenCL 2.1 AMD-APP (3513.0), Vulkan: 1.3.224, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 2560x1600 SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: S3D SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Triad SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: FFT SP SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: MD5 Hash SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Reduction SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: GEMM SGEMM_N SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Max SP Flops SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Bus Speed Download SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Bus Speed Readback SHOC Scalable HeterOgeneous Computing 2020-04-17 Target: OpenCL - Benchmark: Texture Read Bandwidth LeelaChessZero 0.28 Backend: BLAS Nodes Per Second > Higher Is Better ASUS ROG G14 . 777 |=========================================================== oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 3.74737 |======================================================= oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 6.93086 |======================================================= oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 1.55460 |======================================================= oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 1.77232 |======================================================= oneDNN 3.0 Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 13.93 |========================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 8.90706 |======================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 6.27616 |======================================================= oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 13.30 |========================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 2.18130 |======================================================= oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 2.85991 |======================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 3596.01 |======================================================= oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 1945.74 |======================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 3617.40 |======================================================= oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 1965.73 |======================================================= oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 3.05713 |======================================================= oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 3612.42 |======================================================= oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 1953.82 |======================================================= oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU ms < Lower Is Better ASUS ROG G14 . 1.36919 |======================================================= oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU ms < Lower Is Better Numpy Benchmark Score > Higher Is Better ASUS ROG G14 . 511.43 |======================================================== DeepSpeech 0.6 Acceleration: CPU Seconds < Lower Is Better ASUS ROG G14 . 71.87 |========================================================= R Benchmark Seconds < Lower Is Better ASUS ROG G14 . 0.1217 |======================================================== RNNoise 2020-06-28 Seconds < Lower Is Better ASUS ROG G14 . 15.44 |========================================================= TensorFlow Lite 2022-05-18 Model: SqueezeNet Microseconds < Lower Is Better ASUS ROG G14 . 3314.66 |======================================================= TensorFlow Lite 2022-05-18 Model: Inception V4 Microseconds < Lower Is Better ASUS ROG G14 . 48379.8 |======================================================= TensorFlow Lite 2022-05-18 Model: NASNet Mobile Microseconds < Lower Is Better ASUS ROG G14 . 8646.38 |======================================================= TensorFlow Lite 2022-05-18 Model: Mobilenet Float Microseconds < Lower Is Better ASUS ROG G14 . 2515.82 |======================================================= TensorFlow Lite 2022-05-18 Model: Mobilenet Quant Microseconds < Lower Is Better ASUS ROG G14 . 3937.82 |======================================================= TensorFlow Lite 2022-05-18 Model: Inception ResNet V2 Microseconds < Lower Is Better ASUS ROG G14 . 45125.3 |======================================================= TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: VGG-16 images/sec > Higher Is Better ASUS ROG G14 . 4.59 |========================================================== TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: VGG-16 images/sec > Higher Is Better ASUS ROG G14 . 4.77 |========================================================== TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: VGG-16 images/sec > Higher Is Better ASUS ROG G14 . 4.87 |========================================================== TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: AlexNet images/sec > Higher Is Better ASUS ROG G14 . 57.12 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: VGG-16 images/sec > Higher Is Better TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: AlexNet images/sec > Higher Is Better ASUS ROG G14 . 73.58 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: VGG-16 images/sec > Higher Is Better TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: AlexNet images/sec > Higher Is Better ASUS ROG G14 . 86.39 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: AlexNet images/sec > Higher Is Better ASUS ROG G14 . 97.12 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: AlexNet images/sec > Higher Is Better ASUS ROG G14 . 98.33 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: GoogLeNet images/sec > Higher Is Better ASUS ROG G14 . 32.58 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 16 - Model: ResNet-50 images/sec > Higher Is Better ASUS ROG G14 . 10.73 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: GoogLeNet images/sec > Higher Is Better ASUS ROG G14 . 32.62 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 32 - Model: ResNet-50 images/sec > Higher Is Better ASUS ROG G14 . 10.61 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: GoogLeNet images/sec > Higher Is Better ASUS ROG G14 . 32.06 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 64 - Model: ResNet-50 images/sec > Higher Is Better ASUS ROG G14 . 10.53 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: GoogLeNet images/sec > Higher Is Better ASUS ROG G14 . 31.90 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 256 - Model: ResNet-50 images/sec > Higher Is Better TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: GoogLeNet images/sec > Higher Is Better ASUS ROG G14 . 31.50 |========================================================= TensorFlow 2.10 Device: CPU - Batch Size: 512 - Model: ResNet-50 images/sec > Higher Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 6.3479 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 627.11 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 6.1716 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 162.02 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 76.65 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 52.18 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 64.72 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 15.44 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 23.25 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 171.74 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 21.41 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 46.70 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 35.51 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 112.55 |======================================================== Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 32.00 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 31.24 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 78.25 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 51.08 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 70.00 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 14.28 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 57.34 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 69.71 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 50.62 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 19.75 |========================================================= Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 8.6056 |======================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 462.86 |======================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 8.6608 |======================================================== Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 115.45 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 28.14 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 142.03 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 25.00 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 39.99 |========================================================= Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream items/sec > Higher Is Better ASUS ROG G14 . 6.4843 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream ms/batch < Lower Is Better ASUS ROG G14 . 614.26 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream items/sec > Higher Is Better ASUS ROG G14 . 6.1834 |======================================================== Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream ms/batch < Lower Is Better ASUS ROG G14 . 161.72 |======================================================== spaCy 3.4.1 Model: en_core_web_lg tokens/sec > Higher Is Better ASUS ROG G14 . 15617 |========================================================= spaCy 3.4.1 Model: en_core_web_trf tokens/sec > Higher Is Better ASUS ROG G14 . 1369 |========================================================== Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better ASUS ROG G14 . 35894 |========================================================= Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better ASUS ROG G14 . 72234 |========================================================= Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better ASUS ROG G14 . 364479 |======================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 Milli-Seconds < Lower Is Better ASUS ROG G14 . 98154 |========================================================= Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 200 Milli-Seconds < Lower Is Better ASUS ROG G14 . 197647 |======================================================== Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 1000 Milli-Seconds < Lower Is Better ASUS ROG G14 . 983923 |======================================================== Mobile Neural Network 2.1 Model: nasnet ms < Lower Is Better ASUS ROG G14 . 8.849 |========================================================= Mobile Neural Network 2.1 Model: mobilenetV3 ms < Lower Is Better ASUS ROG G14 . 1.057 |========================================================= Mobile Neural Network 2.1 Model: squeezenetv1.1 ms < Lower Is Better ASUS ROG G14 . 2.607 |========================================================= Mobile Neural Network 2.1 Model: resnet-v2-50 ms < Lower Is Better ASUS ROG G14 . 21.25 |========================================================= Mobile Neural Network 2.1 Model: SqueezeNetV1.0 ms < Lower Is Better ASUS ROG G14 . 5.091 |========================================================= Mobile Neural Network 2.1 Model: MobileNetV2_224 ms < Lower Is Better ASUS ROG G14 . 2.370 |========================================================= Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 ms < Lower Is Better ASUS ROG G14 . 2.088 |========================================================= Mobile Neural Network 2.1 Model: inception-v3 ms < Lower Is Better ASUS ROG G14 . 28.51 |========================================================= NCNN 20220729 Target: CPU - Model: mobilenet ms < Lower Is Better ASUS ROG G14 . 11.88 |========================================================= NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better ASUS ROG G14 . 3.33 |========================================================== NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better ASUS ROG G14 . 2.63 |========================================================== NCNN 20220729 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better ASUS ROG G14 . 2.10 |========================================================== NCNN 20220729 Target: CPU - Model: mnasnet ms < Lower Is Better ASUS ROG G14 . 2.52 |========================================================== NCNN 20220729 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better ASUS ROG G14 . 5.38 |========================================================== NCNN 20220729 Target: CPU - Model: blazeface ms < Lower Is Better ASUS ROG G14 . 0.87 |========================================================== NCNN 20220729 Target: CPU - Model: googlenet ms < Lower Is Better ASUS ROG G14 . 10.19 |========================================================= NCNN 20220729 Target: CPU - Model: vgg16 ms < Lower Is Better ASUS ROG G14 . 45.53 |========================================================= NCNN 20220729 Target: CPU - Model: resnet18 ms < Lower Is Better ASUS ROG G14 . 9.78 |========================================================== NCNN 20220729 Target: CPU - Model: alexnet ms < Lower Is Better ASUS ROG G14 . 7.01 |========================================================== NCNN 20220729 Target: CPU - Model: resnet50 ms < Lower Is Better ASUS ROG G14 . 18.17 |========================================================= NCNN 20220729 Target: CPU - Model: yolov4-tiny ms < Lower Is Better ASUS ROG G14 . 19.83 |========================================================= NCNN 20220729 Target: CPU - Model: squeezenet_ssd ms < Lower Is Better ASUS ROG G14 . 13.87 |========================================================= NCNN 20220729 Target: CPU - Model: regnety_400m ms < Lower Is Better ASUS ROG G14 . 6.86 |========================================================== NCNN 20220729 Target: CPU - Model: vision_transformer ms < Lower Is Better ASUS ROG G14 . 209.62 |======================================================== NCNN 20220729 Target: CPU - Model: FastestDet ms < Lower Is Better ASUS ROG G14 . 2.59 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better ASUS ROG G14 . 8.04 |========================================================== NCNN 20220729 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better ASUS ROG G14 . 2.68 |========================================================== NCNN 20220729 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better ASUS ROG G14 . 2.82 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better ASUS ROG G14 . 1.62 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better ASUS ROG G14 . 2.24 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better ASUS ROG G14 . 6.64 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better ASUS ROG G14 . 1.02 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better ASUS ROG G14 . 5.66 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better ASUS ROG G14 . 22.15 |========================================================= NCNN 20220729 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better ASUS ROG G14 . 5.14 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better ASUS ROG G14 . 6.66 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better ASUS ROG G14 . 10.12 |========================================================= NCNN 20220729 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better ASUS ROG G14 . 14.72 |========================================================= NCNN 20220729 Target: Vulkan GPU - Model: squeezenet_ssd ms < Lower Is Better ASUS ROG G14 . 9.92 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: regnety_400m ms < Lower Is Better ASUS ROG G14 . 3.12 |========================================================== NCNN 20220729 Target: Vulkan GPU - Model: vision_transformer ms < Lower Is Better ASUS ROG G14 . 338.46 |======================================================== NCNN 20220729 Target: Vulkan GPU - Model: FastestDet ms < Lower Is Better ASUS ROG G14 . 2.38 |========================================================== TNN 0.3 Target: CPU - Model: DenseNet ms < Lower Is Better ASUS ROG G14 . 2580.48 |======================================================= TNN 0.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better ASUS ROG G14 . 230.14 |======================================================== TNN 0.3 Target: CPU - Model: SqueezeNet v2 ms < Lower Is Better ASUS ROG G14 . 50.95 |========================================================= TNN 0.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better ASUS ROG G14 . 212.00 |======================================================== PlaidML FP16: No - Mode: Inference - Network: VGG16 - Device: CPU Examples Per Second > Higher Is Better PlaidML FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU Examples Per Second > Higher Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 2.23 |========================================================== OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 1773.47 |======================================================= OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 1.40 |========================================================== OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 2827.02 |======================================================= OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 1.38 |========================================================== OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 2857.21 |======================================================= OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 170.73 |======================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 23.41 |========================================================= OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 4.83 |========================================================== OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 823.99 |======================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 289.00 |======================================================== OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 13.83 |========================================================= OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 226.47 |======================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 17.64 |========================================================= OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 24.41 |========================================================= OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 163.80 |======================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 478.94 |======================================================== OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 16.69 |========================================================= OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 300.51 |======================================================== OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 13.29 |========================================================= OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 5947.23 |======================================================= OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 1.32 |========================================================== OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU FPS > Higher Is Better ASUS ROG G14 . 6668.34 |======================================================= OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU ms < Lower Is Better ASUS ROG G14 . 1.18 |========================================================== ECP-CANDLE 0.4 Benchmark: P1B2 Seconds < Lower Is Better ECP-CANDLE 0.4 Benchmark: P3B1 Seconds < Lower Is Better ECP-CANDLE 0.4 Benchmark: P3B2 Seconds < Lower Is Better Numenta Anomaly Benchmark 1.1 Detector: KNN CAD Seconds < Lower Is Better ASUS ROG G14 . 209.76 |======================================================== Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better ASUS ROG G14 . 16.89 |========================================================= Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better ASUS ROG G14 . 10.98 |========================================================= Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better ASUS ROG G14 . 117.69 |======================================================== Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better ASUS ROG G14 . 26.90 |========================================================= Numenta Anomaly Benchmark 1.1 Detector: Contextual Anomaly Detector OSE Seconds < Lower Is Better ASUS ROG G14 . 50.58 |========================================================= ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: GPT-2 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: yolov4 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: bertsquad-12 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: CaffeNet 12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: ResNet50 v1-12-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: super-resolution-10 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Parallel Inferences Per Second > Higher Is Better ONNX Runtime 1.14 Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: Standard Inferences Per Second > Higher Is Better AI Benchmark Alpha 0.1.2 Device Inference Score Score > Higher Is Better ASUS ROG G14 . 1152 |========================================================== AI Benchmark Alpha 0.1.2 Device Training Score Score > Higher Is Better ASUS ROG G14 . 1138 |========================================================== AI Benchmark Alpha 0.1.2 Device AI Score Score > Higher Is Better ASUS ROG G14 . 2290 |========================================================== Mlpack Benchmark Benchmark: scikit_ica Seconds < Lower Is Better ASUS ROG G14 . 39.07 |========================================================= Mlpack Benchmark Benchmark: scikit_qda Seconds < Lower Is Better ASUS ROG G14 . 70.20 |========================================================= Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better ASUS ROG G14 . 17.49 |========================================================= Mlpack Benchmark Benchmark: scikit_linearridgeregression Seconds < Lower Is Better ASUS ROG G14 . 1.94 |========================================================== Scikit-Learn 1.1.3 Benchmark: MNIST Dataset Seconds < Lower Is Better ASUS ROG G14 . 87.14 |========================================================= Scikit-Learn 1.1.3 Benchmark: TSNE MNIST Dataset Seconds < Lower Is Better ASUS ROG G14 . 26.62 |========================================================= Scikit-Learn 1.1.3 Benchmark: Sparse Random Projections, 100 Iterations Seconds < Lower Is Better ASUS ROG G14 . 150.98 |======================================================== OpenCV 4.6 Test: DNN - Deep Neural Network ms < Lower Is Better ASUS ROG G14 . 11845 |=========================================================