Portable CK workflows
Found 131 components
[ Project overview, Reddit disccusion, Android app, Chrome add-on ]

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite0 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite0 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite1 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite1 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite2 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite2 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite3 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite3 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite4 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite efficientnet lite4 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.25 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.5 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 0.75 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v1 1.0 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 96 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.35 96 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 96 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.5 96 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 96 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 0.75 96 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 128 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 128 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 160 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 160 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 192 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 192 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 96 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.0 96 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.3 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.4 224 non quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v2 1.4 224 quantized)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large minimalistic_224_1.0_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large minimalistic_224_1.0_uint8)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large_224_0.75_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large_224_1.0_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 large_224_1.0_uint8)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 small minimalistic_224_1.0_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 small_224_0.75_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 small_224_1.0_float)

 solution   CK MLPerf inference 0.7 (image classification ; tflite mobilenet v3 small_224_1.0_uint8)

 solution   CK MLPerf inference 0.7 (image classification ; tflite non quantized efficientnet lite0)

 solution   CK MLPerf inference 0.7 (image classification ; tflite non quantized efficientnet lite1)

 solution   CK MLPerf inference 0.7 (image classification ; tflite non quantized efficientnet lite2)

 solution   CK MLPerf inference 0.7 (image classification ; tflite non quantized efficientnet lite3)

 solution   CK MLPerf inference 0.7 (image classification ; tflite non quantized efficientnet lite4)

 solution   CK MLPerf inference 0.7 (image classification ; tflite quantized efficientnet lite0)

 solution   CK MLPerf inference 0.7 (image classification ; tflite quantized efficientnet lite1)

 solution   CK MLPerf inference 0.7 (image classification ; tflite quantized efficientnet lite2)

 solution   CK MLPerf inference 0.7 (image classification ; tflite quantized efficientnet lite3)

 solution   CK MLPerf inference 0.7 (image classification ; tflite quantized efficientnet lite4)

 solution   CK MLPerf inference 0.7 (image classification ; tflite resnet50)

 solution   CK MLPerf inference 0.7 (object detection ; tflite ssd mobilenet non quantized)

 solution   CK MLPerf inference 0.7 (object detection ; tflite ssd mobilenet v1 edgetpu)

 solution   CK MLPerf inference 0.7 (object detection ; tflite ssd mobilenet v2 edgetpu)

 solution   Image classification; MLPerf inference v0.5; OpenVINO; MobileNet v1 1.0 224; ImageNet; 500 images validation; Linux; benchmark; portable workflows

 solution   Image classification; MLPerf inference v0.5; OpenVINO; ResNet 50; ImageNet; 500 images validation; Linux; benchmark; portable workflows

 solution   Image classification; MLPerf inference; TFLite CPU; Mobilenets; Linux; Android; webcam

 solution   Image classification; MLPerf inference; TFLite CPU; Mobilenets; Linux; webcam

 solution   Image classification; MLPerf inference; TFLite CPU; Mobilenets; Linux; webcam

 solution   Image classification; MLPerf inference; TFLite CPU; Mobilenets; Linux; webcam; via cloud

 solution   Image classification; MLPerf inference; TFLite CPU; Mobilenets; Raspberry Pi 4; webcam

 solution   Object detection; MLPerf inference v0.5; OpenVINO; SSD MobileNet v1; COCO; 500 images validation; Linux; benchmark; portable workflows

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; 50 images validation; Linux; benchmark; Demo

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; 50 images validation; Linux; benchmark; Portable Workflows

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; 50 images validation; Linux; webcam

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; 50 images validation; Linux; webcam; via cloud

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; 50 images validation; MacOS; benchmark; Portable Workflows

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; 50 images validation; Raspberry Pi; benchmark; Portable Workflows

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; 5000 images validation; Linux; benchmark; Portable Workflows

 solution   Object detection; MLPerf inference; TensorFlow CPU; COCO; Raspberry Pi 4; webcam

 solution   Object detection; MLPerf inference; TFLite CPU; COCO; 50 images validation; Android; benchmark; Portable Workflows

 solution   Object detection; TensorFlow CPU; KITTI 0009; Linux; self-driving car; via cloud

 solution   Object detection; TensorFlow CPU; KITTI min; Linux; self-driving car

 solution   Object detection; TensorFlow CPU; KITTI min; Windows; self-driving car

 solution   Object detection; TensorFlow CUDA; KITTI 0009; Linux; self-driving car

 solution   Object detection; TensorFlow CUDA; KITTI 0009; Windows; self-driving car

 solution   Object detection; TensorFlow CUDA; KITTI min; Windows; self-driving car; webcam