HWBench

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) vs Hailo-10H (M.2/PCIe, x86 host)

Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.

Hailo-10H (M.2/PCIe, x86 host) is faster in the only like-for-like comparison (largest gap: semantic segmentation, 5.99×).

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only)Hailo-10H (M.2/PCIe, x86 host)
Best semantic segmentation5.24 FPS D
Older data (2020)		667 FPS D
2026-09-03 (page last edited)
Powern/a2.50 W spec
Perf / Wn/a267 FPS/W spec
Pricen/an/a
Workloads with data1 of 75 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.

PlatformResultModel · precision · stackGradePowerSource
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)		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

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No published object detection results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.

PlatformResultModel · precision · stackGradePowerSource
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)		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published instance segmentation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.

PlatformResultModel · precision · stackGradePowerSource
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		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published pose estimation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.

PlatformResultModel · precision · stackGradePowerSource
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		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published image classification results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
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		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only5.24 FPS
inference_time · b=1		Unet Mv2 (128x128)
TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN		Dunknown power n/a
no power published		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2020)

speech-to-text

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No published speech-to-text results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.

Hailo-10H (M.2/PCIe, x86 host) is faster in all 3 like-for-like comparisons (largest gap: image classification, 581×).

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only)Hailo-10H (M.2/PCIe, x86 host)
Best image classification8.20 FPS D
Older data (2019)		2798 FPS D
2026-09-03 (page last edited)
Powern/a2.50 W spec
Perf / Wn/a1119 FPS/W spec
Pricen/an/a
Workloads with data3 of 75 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

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class mobile-class CNN vs nano (YOLO-n).
PlatformResultModel · precision · stackGradePowerSource
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)		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only
MIXED: model-size class mobile-class CNN vs nano (YOLO-n)		3.55 FPS
inference_time · b=1		MobileNet v2 SSD (224x224)
TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN		Dunknown power n/a
no power published		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.

PlatformResultModel · precision · stackGradePowerSource
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)		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published instance segmentation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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.

PlatformResultModel · precision · stackGradePowerSource
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		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):

◌

No published pose estimation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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

✓ Like-for-like: model-size class mobile-class CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
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		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only8.20 FPS
inference_time · b=1		MobileNet v2 (224x224)
TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN		Dunknown power n/a
no power published		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2019)
✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
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		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only0.570 FPS
inference_time · b=1		ResNet-50 V1 (299x299)
TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN		Dunknown power n/a
no power published		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2019)

semantic segmentation

✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
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		D2.50 W spec
reported in result source — spec		Hailo Model Zoo public models (Hailo-10H)
2026-09-03 (page last edited)
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only5.24 FPS
inference_time · b=1		Unet Mv2 (128x128)
TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN		Dunknown power n/a
no power published		Google Coral Edge TPU benchmarks page (Table 1)
Older data (2020)

speech-to-text

◌

No published speech-to-text results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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
Every number is labelled. Confidence: A MLPerf closed, audited · B documented third-party method · C community / review · D vendor-published, not independently verified · E estimate. Power basis: measured with the result · spec vendor spec/envelope · power n/a not published.

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.