Google Coral Dev Board (Edge TPU) vs TI AM68A (8 TOPS)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Google Coral Dev Board (Edge TPU) | TI AM68A (8 TOPS) | |
|---|---|---|
| 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 | $174.197 list |
| Workloads with data | 1 of 7 | 1 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
Only TI AM68A (8 TOPS) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| TI AM68A (8 TOPS) | 83.75 FPS inference_time · b=1 | yolov7_tiny INT8 · TI Edge AI SDK / TIDL (edgeai-benchmark) · unknown | C | unknown power n/a no power published | TI edgeai-tensorlab tech report: speed/accuracy of object detection models (AM68A) Older data (2024) |
Google Coral Dev Board (Edge TPU):
No published object detection results for Google Coral Dev Board (Edge TPU) or TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) 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) |
TI AM68A (8 TOPS):
No published semantic segmentation results for TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Google Coral Dev Board (Edge TPU) | TI AM68A (8 TOPS) | |
|---|---|---|
| Best object detection | 90.91 FPS D Older data (2019) | 83.75 FPS C Older data (2024) |
| Power | 2.00 W spec | n/a |
| Perf / W | 45.45 FPS/W spec | n/a |
| Price | n/a | $174.197 list |
| Workloads with data | 3 of 7 | 1 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
| 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) |
| TI AM68A (8 TOPS) MIXED: model-size class unknown vs mobile-class CNN | 83.75 FPS inference_time · b=1 | yolov7_tiny INT8 · TI Edge AI SDK / TIDL (edgeai-benchmark) · unknown | C | unknown power n/a no power published | TI edgeai-tensorlab tech report: speed/accuracy of object detection models (AM68A) Older data (2024) |
No shared like-for-like group exists for this pair.
instance segmentation
No published instance segmentation results for Google Coral Dev Board (Edge TPU) or TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) 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) |
TI AM68A (8 TOPS):
No published image classification results for TI AM68A (8 TOPS) 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) |
TI AM68A (8 TOPS):
No published semantic segmentation results for TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) 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 TI AM68A (8 TOPS) 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.