[ Project overview, Reddit disccusion, Android app, Chrome add-on ]

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 result   MLPerf Inference v0.5 - Image Classification - MultiStream (number of streams)

 result   MLPerf Inference v0.5 - Image Classification - Offline (samples per second)

 result   MLPerf Inference v0.5 - Image Classification - Server (queries per second)

 result   MLPerf Inference v0.5 - Image Classification - SingleStream (milliseconds per sample)

 result   MLPerf Inference v0.5 - Machine Translation - MultiStream (number of streams)

 result   MLPerf Inference v0.5 - Machine Translation - Offline (samples per second)

 result   MLPerf Inference v0.5 - Machine Translation - Server (queries per second)

 result   MLPerf Inference v0.5 - Machine Translation - SingleStream (milliseconds per sample)

 result   MLPerf Inference v0.5 - Object Detection - MultiStream (number of streams)

 result   MLPerf Inference v0.5 - Object Detection - Offline (samples per second)

 result   MLPerf Inference v0.5 - Object Detection - Server (queries per second)

 result   MLPerf Inference v0.5 - Object Detection - SingleStream (milliseconds per sample)

 result   NNTest (collaboratively benchmarking and optimizing neural network operations)

 result   SOTA: MLPerf inference benchmark v0.5 results snapshot (closed, Available) for collaborative validation

 result   SOTA: MLPerf inference benchmark v0.5 results snapshot (closed, Preview) for collaborative validation

 result   SOTA: MLPerf inference benchmark v0.5 results snapshot (closed, Research, Development, and Other) for collaborative validation

 result   SOTA: MLPerf inference benchmark v0.5 results snapshot (open, Available) for collaborative validation

 result   SOTA: MLPerf inference benchmark v0.5 results snapshot (open, Research, Development, and Other) for collaborative validation

 result   SOTA: Validating MLPerf inference benchmark v0.5 results (object detection) via cK crowd-benchmarking

 script   dse-acc

 script   dse-perf-docker

 script   dse-perf-native

 script   explore-accuracy

 script   explore-batch-size-libs-models

 script   explore-batch-size-unified-and-customized

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