AMD Versal AI Edge Series Gen 2 VEK385 vs NVIDIA Jetson AGX Orin 64GB

FPGA / Versal coverage note: 1,243 rows come from the AMD Vitis AI 3.0/3.5 Model Zoo tables; 733 (59%) are image classification. Detection, segmentation and other workloads are thinner, and there is no LLM or speech data for these boards. All are vendor-published (grade D). FPGA / Versal overview.

AMDeval kit (adaptive SoC)No licensed photo yet

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Showing the newest results per platform and source. 12 superseded older results are hidden.Showing all results, including 12 superseded by newer results from the same source.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.

	AMD Versal AI Edge Series Gen 2 VEK385	NVIDIA Jetson AGX Orin 64GB
Best object detection	93.50 FPS D 2026-09-24 (published)	435 FPS B 2026-10-13 (page last edited)
Power	n/a	65.00 W spec
Perf / W	n/a	6.69 FPS/W spec
Price	$15995 list	$3499 list
Workloads with data	2 of 7	3 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 medium (YOLO-m) vs nano (YOLO-n).

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	435 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	65.00 W spec platform spec envelope (not measured with this result)	Ultralytics documentation (benchmark table) 2026-10-13 (page last edited)
AMD Versal AI Edge Series Gen 2 VEK385 MIXED: model-size class medium (YOLO-m) vs nano (YOLO-n)	93.50 FPS throughput · b=1	yolov8m VINT8 with BF16 tail (Quark) · Vitis AI 6.3 VART ml_vart --benchmark --runs 100 · medium (YOLO-m)	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 YOLOv8m tutorial 2026-09-24 (published)

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

instance segmentation

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No published instance segmentation results for AMD Versal AI Edge Series Gen 2 VEK385 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

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No published pose estimation results for AMD Versal AI Edge Series Gen 2 VEK385 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

Only AMD Versal AI Edge Series Gen 2 VEK385 has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge Series Gen 2 VEK385	265 FPS throughput · b=1	resnet50-v1-12 (ONNX) INT8 (Quark) · Vitis AI 6.3 ONNX Runtime Vitis AI EP (evaluate.py, Python loop) · mid-size CNN	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 ResNet50 Quark tutorial 2026-09-23 (page last edited)

NVIDIA Jetson AGX Orin 64GB:

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No published image classification results for NVIDIA Jetson AGX Orin 64GB or AMD Versal AI Edge Series Gen 2 VEK385 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 NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	104 FPS throughput · b=1	SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown	C	65.00 W spec platform spec envelope (not measured with this result)	arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published)

AMD Versal AI Edge Series Gen 2 VEK385:

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No published semantic segmentation results for AMD Versal AI Edge Series Gen 2 VEK385 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.

speech-to-text

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No published speech-to-text results for AMD Versal AI Edge Series Gen 2 VEK385 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.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	30.00 tok/s generation_throughput · b=1	Qwen 3 8B W4A16 · vLLM · LLM 5–14B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)

AMD Versal AI Edge Series Gen 2 VEK385:

◌

No published LLM generation results for AMD Versal AI Edge Series Gen 2 VEK385 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.

	AMD Versal AI Edge Series Gen 2 VEK385	NVIDIA Jetson AGX Orin 64GB
Best object detection	93.50 FPS D 2026-09-24 (published)	435 FPS B 2026-10-13 (page last edited)
Power	n/a	65.00 W spec
Perf / W	n/a	6.69 FPS/W spec
Price	$15995 list	$3499 list
Workloads with data	2 of 7	5 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 medium (YOLO-m) vs nano (YOLO-n).

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	435 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	65.00 W spec platform spec envelope (not measured with this result)	Ultralytics documentation (benchmark table) 2026-10-13 (page last edited)
AMD Versal AI Edge Series Gen 2 VEK385 MIXED: model-size class medium (YOLO-m) vs nano (YOLO-n)	93.50 FPS throughput · b=1	yolov8m VINT8 with BF16 tail (Quark) · Vitis AI 6.3 VART ml_vart --benchmark --runs 100 · medium (YOLO-m)	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 YOLOv8m tutorial 2026-09-24 (published)

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

instance segmentation

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pose estimation

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image classification

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Edge Series Gen 2 VEK385	265 FPS throughput · b=1	resnet50-v1-12 (ONNX) INT8 (Quark) · Vitis AI 6.3 ONNX Runtime Vitis AI EP (evaluate.py, Python loop) · mid-size CNN	D	unknown power n/a no power published	AMD Vitis AI 6.3 VEK385 ResNet50 Quark tutorial 2026-09-23 (page last edited)
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	D	65.00 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

Only NVIDIA Jetson AGX Orin 64GB has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	104 FPS throughput · b=1	SegFormer-B0 (640x640) FP16 · TensorRT (ONNX export) · unknown	C	65.00 W spec platform spec envelope (not measured with this result)	arXiv 2608.00927 AgriJetsonBench (abstract figures) 2026-08-02 (published)

AMD Versal AI Edge Series Gen 2 VEK385:

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speech-to-text

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

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	1170 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023)

AMD Versal AI Edge Series Gen 2 VEK385:

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LLM generation

Only NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	30.00 tok/s generation_throughput · b=1	Qwen 3 8B W4A16 · vLLM · LLM 5–14B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited)

AMD Versal AI Edge Series Gen 2 VEK385:

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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.