Google Coral Dev Board (Edge TPU) vs Intel Core Ultra X7 358H (Panther Lake)
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) | Intel Core Ultra X7 358H (Panther Lake) | |
|---|---|---|
| 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 | 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 Intel Core Ultra X7 358H (Panther Lake) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Intel Core Ultra X7 358H (Panther Lake) | 248 FPS inference_time · b=1 | YOLO26n FP16 · Ultralytics + OpenVINO 2026.2.1 · nano (YOLO-n) | C | unknown power n/a no power published | Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited) |
Google Coral Dev Board (Edge TPU):
No published object detection results for Google Coral Dev Board (Edge TPU) or Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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) |
Intel Core Ultra X7 358H (Panther Lake):
No published semantic segmentation results for Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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) | Intel Core Ultra X7 358H (Panther Lake) | |
|---|---|---|
| Best object detection | 90.91 FPS D Older data (2019) | 248 FPS C 2026-09-27 (page last edited) |
| 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 | 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 |
|---|---|---|---|---|---|
| Intel Core Ultra X7 358H (Panther Lake) | 248 FPS inference_time · b=1 | YOLO26n FP16 · Ultralytics + OpenVINO 2026.2.1 · nano (YOLO-n) | C | unknown power n/a no power published | Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited) |
| Google Coral Dev Board (Edge TPU) MIXED: model-size class mobile-class CNN vs nano (YOLO-n) | 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) |
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 Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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) |
Intel Core Ultra X7 358H (Panther Lake):
No published image classification results for Intel Core Ultra X7 358H (Panther Lake) 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) |
Intel Core Ultra X7 358H (Panther Lake):
No published semantic segmentation results for Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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 Intel Core Ultra X7 358H (Panther Lake) 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.