Google Coral Dev Board (Edge TPU) vs Hailo-10H (M.2/PCIe, x86 host)
Google Coral Dev Board (Edge TPU) is faster in the only like-for-like comparison (largest gap: semantic segmentation, 5.59×).
| Google Coral Dev Board (Edge TPU) | Hailo-10H (M.2/PCIe, x86 host) | |
|---|---|---|
| Best semantic segmentation | 175 FPS D Older data (2020) | 667 FPS D 2026-09-03 (page last edited) |
| Power | 2.00 W spec | 2.50 W spec |
| Perf / W | 87.72 FPS/W spec | 267 FPS/W spec |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 5 of 7 |
Best published semantic segmentation result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only Hailo-10H (M.2/PCIe, x86 host) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 375 FPS throughput · b=1 | yolov8n INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · nano (YOLO-n) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
Google Coral Dev Board (Edge TPU):
No published object detection results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
instance segmentation
Only Hailo-10H (M.2/PCIe, x86 host) has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 66.70 FPS throughput · b=1 | yolov8m_seg INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · medium (YOLO-m) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
Google Coral Dev Board (Edge TPU):
No published instance segmentation results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
Only Hailo-10H (M.2/PCIe, x86 host) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 2034 FPS throughput · b=1 | mspn_regnetx_800mf INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mid-size CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
Google Coral Dev Board (Edge TPU):
No published pose estimation results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) 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 Hailo-10H (M.2/PCIe, x86 host) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 2798 FPS throughput · b=1 | mobilenet_v2_1.0 INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mobile-class CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
Google Coral Dev Board (Edge TPU):
No published image classification results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
semantic segmentation
| 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) |
| Hailo-10H (M.2/PCIe, x86 host) | 31.40 FPS throughput · b=1 | fcn8_resnet_v1_18 INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mid-size CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
speech-to-text
No published speech-to-text results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) 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 Hailo-10H (M.2/PCIe, x86 host) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
Split result: Google Coral Dev Board (Edge TPU) is faster in 1 and Hailo-10H (M.2/PCIe, x86 host) in 2 of 3 like-for-like comparisons.
| Google Coral Dev Board (Edge TPU) | Hailo-10H (M.2/PCIe, x86 host) | |
|---|---|---|
| Best image classification | 500 FPS D Older data (2019) | 2798 FPS D 2026-09-03 (page last edited) |
| Power | 2.00 W spec | 2.50 W spec |
| Perf / W | 250 FPS/W spec | 1119 FPS/W spec |
| Price | n/a | n/a |
| Workloads with data | 3 of 7 | 5 of 7 |
Best published image classification result per platform (may be from different like-for-like groups — see data). 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 |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 375 FPS throughput · b=1 | yolov8n INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · nano (YOLO-n) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (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
Only Hailo-10H (M.2/PCIe, x86 host) has published instance segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 66.70 FPS throughput · b=1 | yolov8m_seg INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · medium (YOLO-m) | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
Google Coral Dev Board (Edge TPU):
No published instance segmentation results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
pose estimation
Only Hailo-10H (M.2/PCIe, x86 host) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 2034 FPS throughput · b=1 | mspn_regnetx_800mf INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mid-size CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
Google Coral Dev Board (Edge TPU):
No published pose estimation results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) 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 |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 2798 FPS throughput · b=1 | mobilenet_v2_1.0 INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mobile-class CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
| Google Coral Dev Board (Edge TPU) | 417 FPS inference_time · b=1 | MobileNet v1 (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) |
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Hailo-10H (M.2/PCIe, x86 host) | 331 FPS throughput · b=1 | resnet_v1_50 INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mid-size CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
| 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) |
semantic segmentation
| 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) |
| Hailo-10H (M.2/PCIe, x86 host) | 31.40 FPS throughput · b=1 | fcn8_resnet_v1_18 INT8 (Hailo quantized) · Hailo DFC v5.4.0 / HailoRT (model zoo) · mid-size CNN | D | 2.50 W spec reported in result source — spec | Hailo Model Zoo public models (Hailo-10H) 2026-09-03 (page last edited) |
speech-to-text
No published speech-to-text results for Google Coral Dev Board (Edge TPU) or Hailo-10H (M.2/PCIe, x86 host) 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 Hailo-10H (M.2/PCIe, x86 host) 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.