Google Coral Dev Board (Edge TPU) vs Lattice iCE40 UltraPlus Mobile Development Platform (sensAI)
Only Google Coral Dev Board (Edge TPU) has published results here; Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) has none for the workloads we track.
| Google Coral Dev Board (Edge TPU) | Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) | |
|---|---|---|
| Best semantic segmentation | 175 FPS D Older data (2020) | n/a |
| Power | 2.00 W spec | n/a |
| Perf / W | 87.72 FPS/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 0 of 7 |
Best published semantic segmentation result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
No published object detection results for Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
No published image classification results for Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
Only Google Coral Dev Board (Edge TPU) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral Dev Board (Edge TPU) | 175 FPS inference_time · b=1 | Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | 2.00 W spec platform spec envelope (not measured with this result) | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
Lattice iCE40 UltraPlus Mobile Development Platform (sensAI):
No published semantic segmentation results for Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) or Google Coral Dev Board (Edge TPU) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
Only Google Coral Dev Board (Edge TPU) has published results here; Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) has none for the workloads we track.
| Google Coral Dev Board (Edge TPU) | Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) | |
|---|---|---|
| Best object detection | 90.91 FPS D Older data (2019) | n/a |
| Power | 2.00 W spec | n/a |
| Perf / W | 45.45 FPS/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 3 of 7 | 0 of 7 |
Best published object detection result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only Google Coral Dev Board (Edge TPU) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral Dev Board (Edge TPU) | 90.91 FPS inference_time · b=1 | MobileNet v1 SSD (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN | D | 2.00 W spec platform spec envelope (not measured with this result) | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
Lattice iCE40 UltraPlus Mobile Development Platform (sensAI):
No published object detection results for Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) or Google Coral Dev Board (Edge TPU) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
Only Google Coral Dev Board (Edge TPU) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral Dev Board (Edge TPU) | 17.86 FPS inference_time · b=1 | ResNet-50 V1 (299x299) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | 2.00 W spec platform spec envelope (not measured with this result) | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
Lattice iCE40 UltraPlus Mobile Development Platform (sensAI):
No published image classification results for Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) or Google Coral Dev Board (Edge TPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
Only Google Coral Dev Board (Edge TPU) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral Dev Board (Edge TPU) | 175 FPS inference_time · b=1 | Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | 2.00 W spec platform spec envelope (not measured with this result) | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
Lattice iCE40 UltraPlus Mobile Development Platform (sensAI):
No published semantic segmentation results for Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) or Google Coral Dev Board (Edge TPU) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) 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 Google Coral Dev Board (Edge TPU) or Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) 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.