Google Coral Dev Board (Edge TPU) vs Intel Xeon Gold 5218T
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 Xeon Gold 5218T | |
|---|---|---|
| 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 | 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 Intel Xeon Gold 5218T has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Intel Xeon Gold 5218T CPU-only | 17.60 FPS throughput (OpenVINO benchmark_app) · b=unknown | ssd-resnet34-1200 INT8 · OpenVINO 2026.4.1 · mid-size CNN | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
Google Coral Dev Board (Edge TPU):
No published object detection results for Google Coral Dev Board (Edge TPU) or Intel Xeon Gold 5218T 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 Xeon Gold 5218T 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 Xeon Gold 5218T 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 Intel Xeon Gold 5218T has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Intel Xeon Gold 5218T CPU-only | 5447 FPS throughput (OpenVINO benchmark_app) · b=unknown | mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
Google Coral Dev Board (Edge TPU):
No published image classification results for Google Coral Dev Board (Edge TPU) or Intel Xeon Gold 5218T 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 Xeon Gold 5218T:
No published semantic segmentation results for Intel Xeon Gold 5218T 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 Xeon Gold 5218T 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 Xeon Gold 5218T 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 Xeon Gold 5218T | |
|---|---|---|
| Best object detection | 90.91 FPS D Older data (2019) | 452 FPS D 2026-10-01 (published) |
| 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 | 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 |
|---|---|---|---|---|---|
| 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) |
| Intel Xeon Gold 5218T CPU-only MIXED: model-size class unknown vs mobile-class CNN; batch unknown vs 1 | 452 FPS throughput (OpenVINO benchmark_app) · b=unknown | yolo_v8n INT8 · OpenVINO 2026.4.1 · unknown | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
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 Xeon Gold 5218T 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 Xeon Gold 5218T yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| 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 Xeon Gold 5218T CPU-only MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1 | 5447 FPS throughput (OpenVINO benchmark_app) · b=unknown | mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
No shared like-for-like group exists for this pair.
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 Xeon Gold 5218T:
No published semantic segmentation results for Intel Xeon Gold 5218T 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 Xeon Gold 5218T 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 Xeon Gold 5218T 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.