NXP i.MX 9 with eIQ Neutron-S NPU (i.MX 95/952/943; doc does not specify): edge AI benchmarks
Best published result per workload, across model sizes — open “Show data” for like-for-like groups.
Show data — per-workload tables
object detection
No published object detection results for NXP i.MX 9 with eIQ Neutron-S NPU (i.MX 95/952/943; doc does not specify) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
instance segmentation
No published instance segmentation results for NXP i.MX 9 with eIQ Neutron-S NPU (i.MX 95/952/943; doc does not specify) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
No published pose estimation results for NXP i.MX 9 with eIQ Neutron-S NPU (i.MX 95/952/943; doc does not specify) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| Like-for-like group | Best result | Model · precision · stack | Grade | Power | Source · date | Rank in group |
|---|---|---|---|---|---|---|
| mobile-class CNN · b=1 | 619 FPS | mobilenetv2-12 (neutron-converted ONNX) INT8 (quantized) · ONNX Runtime 1.24.3 onnxruntime_perf_test; delegate: Neutron execution provider | D | unknown power n/a | NXP UG10166 (vendor document) undated | 9 of 16 |
semantic segmentation
No published semantic segmentation results for NXP i.MX 9 with eIQ Neutron-S NPU (i.MX 95/952/943; doc does not specify) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
speech-to-text
No published speech-to-text results for NXP i.MX 9 with eIQ Neutron-S NPU (i.MX 95/952/943; doc does not specify) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
No published LLM generation results for NXP i.MX 9 with eIQ Neutron-S NPU (i.MX 95/952/943; doc does not specify) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
How to read these numbers
Machine-readable: /find.json (see llms.txt); full tables are in “Show data”. Confidence grades: A audited MLPerf closed · B documented third-party · C community · D vendor-published · E estimate. Unknown values are shown as unknown, never estimated. Generated 2026-10-16 from public sources.