HWBench

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) vs NVIDIA Jetson AGX Orin 64GB

NVIDIA Jetson AGX Orin developer kit with its retail box, on a black background
NVIDIA Jetson AGX Orin developer kit. Photo: Auledas, CC BY 4.0, via Wikimedia Commons.
Showing the newest results per platform and source. 30 superseded older results are hidden.Showing all results, including 30 superseded by newer results from the same source.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only)NVIDIA Jetson AGX Orin 64GB
Best semantic segmentation5.24 FPS D
Older data (2020)		104 FPS C
2026-08-02 (published)
Powern/a65.00 W spec
Perf / Wn/a1.59 FPS/W spec
Pricen/a$3499 list
Workloads with data1 of 73 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 Orin 64GB has published object detection results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1		YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)		B65.00 W spec
platform spec envelope (not measured with this result)		Ultralytics documentation (benchmark table)
2026-10-13 (page last edited)

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

◌

No published object detection results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class unknown vs mid-size CNN.
PlatformResultModel · precision · stackGradePowerSource
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)
NVIDIA Jetson AGX Orin 64GB
MIXED: model-size class unknown vs mid-size CNN		104 FPS
throughput · b=1		SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

No shared like-for-like group exists for this pair.

speech-to-text

◌

No published speech-to-text results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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 Orin 64GB has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1		Qwen 3 8B
W4A16 · vLLM · LLM 5–14B		C65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

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

◌

No published LLM generation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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.

Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only)NVIDIA Jetson AGX Orin 64GB
Best object detection3.55 FPS D
Older data (2019)		435 FPS B
2026-10-13 (page last edited)
Powern/a65.00 W spec
Perf / Wn/a6.69 FPS/W spec
Pricen/a$3499 list
Workloads with data3 of 75 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

⚠ 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
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1		YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)		B65.00 W spec
platform spec envelope (not measured with this result)		Ultralytics documentation (benchmark table)
2026-10-13 (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

◌

No published instance segmentation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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 Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
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)
NVIDIA Jetson AGX Orin 64GB
MIXED: batch unknown vs 1		6424 FPS
throughput_offline · b=unknown		MLPerf ResNet
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN		D65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)
Older data (2023)

No shared like-for-like group exists for this pair.

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: model-size class unknown vs mid-size CNN.
PlatformResultModel · precision · stackGradePowerSource
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)
NVIDIA Jetson AGX Orin 64GB
MIXED: model-size class unknown vs mid-size CNN		104 FPS
throughput · b=1		SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)

No shared like-for-like group exists for this pair.

speech-to-text

Only NVIDIA Jetson AGX Orin 64GB has published speech-to-text results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB1170 FPS
throughput_offline · b=unknown		MLPerf RNN-T
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T		D65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)
Older data (2023)

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

◌

No published speech-to-text results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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 Orin 64GB has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1		Qwen 3 8B
W4A16 · vLLM · LLM 5–14B		C65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

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

◌

No published LLM generation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) or NVIDIA Jetson AGX Orin 64GB 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.