SOTA: MLPerf inference benchmark v0.5 results snapshot (open, Available) for collaborative validation
Component: cr-result:sota-mlperf-inference-results-v0.5-open-available (v1.0.0)
Added by: gfursin (2019-11-17 01:17:53)
Authors: MLPerf
Creation date: 2019-11-07 11:43:59
CID: cb8caf8cbebafe20:49ba90a53ef0f5d0cr-result:sota-mlperf-inference-results-v0.5-open-available  )

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Benchmark results (performance): P_*_SS - Single Stream in milliseconds, P_*_MS - MultiStream in no. streams, P_*_S - Server in QPS, P_*_O - Offline in inputs/second.
Benchmark results (accuracy): A_IC* - Top-1, A_OD* - mAP, A_NMT* - BLEU.
CodeReef components: packages, software detection plugins.
Image Classification: IC1 - ImageNet, MobileNet-v1, IC2 - ImageNet, ResNet-50 v1.5.
Object detection: OD1 - COCO, SSD w/ MobileNet-v1, OD2 - COCO 1200x1200, SSD w/ ResNet-34.
Translation: NMT - WMT E-G, NMT.
Form Factor: FF_M - Mobile/Handheld, FF_D - Desktop/Workstation, FF_S - Server, FF_E - Edge/Embedded.
These are not official results but a snapshot to collaboratively reproduce results and add portable workflows!
MLPerf name and logo are trademarks. See for more information.

Related paper: MLPerf Inference Benchmark
Related solutions: 1 2 3 4 5 6 7

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