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

result:sota-mlperf-inference-results-v0.5-open-rdo (v1.0.0)
Creation date: 2019-11-07
cID: 4cd2850867df4241:8e45edab745c8867
Push data to this graph: docs , graph meta description
Don't hesitate to get in touch if you encounter any issues or would like to discuss this community project!
Sign up to be notified when artifacts are shared or updated!
These live scoreboards are connected with the CK solutions to help researchers and practitioners participate in collaborative benchmarking of emerging technologies!
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.
cK 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.

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




Please log in to add your comments!
If you notice any inapropriate content that should not be here, please report us as soon as possible and we will try to remove it within 48 hours!