Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 vs NVIDIA Jetson AGX Thor
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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 | NVIDIA Jetson AGX Thor | |
|---|---|---|
| Best semantic segmentation | 303 FPS D Older data (2020) | n/a |
| Power | 2.00 W spec | n/a |
| Perf / W | 152 FPS/W spec | n/a |
| Price | n/a | $5499 list |
| Workloads with data | 1 of 7 | 2 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 NVIDIA Jetson AGX Thor has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Thor | 719 FPS inference_time · b=1 | YOLO26n FP16 · Ultralytics TensorRT · nano (YOLO-n) | B | 130 W spec platform spec envelope (not measured with this result) | Ultralytics documentation (benchmark table) 2026-10-13 (page last edited) |
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:
No published object detection results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 | 303 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) |
NVIDIA Jetson AGX Thor:
No published semantic segmentation results for NVIDIA Jetson AGX Thor or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
Only NVIDIA Jetson AGX Thor has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Thor | 41.32 tok/s tok/s gen, concurrency 1 · b=1 | Deepseek R1 7B n/s on page · NVIDIA (vLLM/TensorRT-LLM per page) · LLM 5–14B | D | 130 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks on or before 2025-11-08 |
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:
No published LLM generation results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 | NVIDIA Jetson AGX Thor | |
|---|---|---|
| Best object detection | 154 FPS D Older data (2019) | 719 FPS B 2026-10-13 (page last edited) |
| Power | 2.00 W spec | 130 W spec |
| Perf / W | 76.92 FPS/W spec | 5.53 FPS/W spec |
| Price | n/a | $5499 list |
| Workloads with data | 3 of 7 | 2 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 |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Thor | 719 FPS inference_time · b=1 | YOLO26n FP16 · Ultralytics TensorRT · nano (YOLO-n) | B | 130 W spec platform spec envelope (not measured with this result) | Ultralytics documentation (benchmark table) 2026-10-13 (page last edited) |
| Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 MIXED: model-size class mobile-class CNN vs nano (YOLO-n) | 154 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 | 20.41 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) |
NVIDIA Jetson AGX Thor:
No published image classification results for NVIDIA Jetson AGX Thor or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 | 303 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) |
NVIDIA Jetson AGX Thor:
No published semantic segmentation results for NVIDIA Jetson AGX Thor or Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 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 USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
Only NVIDIA Jetson AGX Thor has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson AGX Thor | 41.32 tok/s tok/s gen, concurrency 1 · b=1 | Deepseek R1 7B n/s on page · NVIDIA (vLLM/TensorRT-LLM per page) · LLM 5–14B | D | 130 W spec platform spec envelope (not measured with this result) | NVIDIA Jetson Benchmarks on or before 2025-11-08 |
Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0:
No published LLM generation results for Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 or NVIDIA Jetson AGX Thor 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.