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