{
"meta": {
"info": "SOTA: Validating MLPerf inference benchmark v0.5 results (closed, Research, Development, and Other).",
"scenario": "universal",
"scenario_uid": "3bf7371412455a8f",
"title": "SOTA: MLPerf inference benchmark v0.5 results snapshot (closed, Research, Development, and Other) for collaborative validation",
"viz_engine": "ck_beta"
},
"notes": "Benchmark results: SS - Single Stream in milliseconds, MS - MultiStream in no. streams, S - Server in QPS, O - Offline in inputs/second.
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.",
"related_components": {
"paper": {
"title": "MLPerf Inference Benchmark",
"uid": "d0e50ebb5b9d4ec9"
},
"solutions": [
{
"name": "1",
"uid": "1863f39cdaef4539"
},
{
"name": "2",
"uid": "bdafb75d4404ad0f"
},
{
"name": "3",
"uid": "c4ebcb732f9dee76"
},
{
"name": "4",
"uid": "671004c70aaea939"
},
{
"name": "5",
"uid": "6435b0db54876aac"
},
{
"name": "6",
"uid": "019c4f9f9acc8ff6"
},
{
"name": "7",
"uid": "4baf94abf6d1f8db"
}
]
},
"source": "https://mlperf.org/inference-overview/#overview",
"tags": [
"result",
"benchmarking",
"reproducible-benchmarking",
"crowd-benchmarking",
"reproduced-results",
"imported-ck-results",
"mlperf",
"mlperf-inference",
"mlperf-inference-v0.5",
"mlperf-inference-v0.5-snapshot",
"viz-engine-ck-beta"
]
}