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SOTA: MLPerf inference benchmark v0.5 results snapshot (open, Available) for collaborative validation
result
:sota-mlperf-inference-results-v0.5-open-available (v1.0.0)
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License:
https://github.com/mlperf/policies/blob/master/TERMS%20OF%20USE.md
Creation date:
2019-11-07
Source:
mlperf.org/inference-overview/#overview
cID:
4cd2850867df4241:49ba90a53ef0f5d0
Push data to this graph:
docs
,
graph meta description
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Live CK scoreboards are connected with
portable CK workflows
and
adaptive containers
to help the community participate in collaborative AI/ML/SW/HW benchmarking and DSE. See this
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and
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for more details.
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 www.mlperf.org for more information.
Reproduced paper:
MLPerf Inference Benchmark
Related reusable solutions:
1
2
3
4
5
6
7
SOTA: MLPerf inference benchmark v0.5 results snapshot (open, Available) for collaborative validation
Versions
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1.0.0
(2020-04-12)
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