AMD Versal AI Core VCK190 (VC1902) vs NVIDIA Jetson Thor T4000

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.

No licensed photo available — placeholder drawing.

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 Core VCK190 (VC1902)	NVIDIA Jetson Thor T4000
Best object detection	1300 FPS D Older data (2023)	n/a
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	4 of 7	1 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

Only AMD Versal AI Core VCK190 (VC1902) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Core VCK190 (VC1902)	70.67 FPS E2E throughput, multi thread · b=unknown	pt_yolov5s6_coco_1280_1280_17G INT8 · Vitis AI 3.0 (VART) · small (YOLO-s)	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA Jetson Thor T4000:

◌

No published object detection results for NVIDIA Jetson Thor T4000 or AMD Versal AI Core VCK190 (VC1902) 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 AMD Versal AI Core VCK190 (VC1902) or NVIDIA Jetson Thor T4000 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 AMD Versal AI Core VCK190 (VC1902) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Core VCK190 (VC1902)	437 FPS E2E throughput, multi thread · b=unknown	pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · unknown	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA Jetson Thor T4000:

◌

No published pose estimation results for NVIDIA Jetson Thor T4000 or AMD Versal AI Core VCK190 (VC1902) 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 Core VCK190 (VC1902) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Core VCK190 (VC1902)	4566 FPS E2E throughput, multi thread · b=unknown	tf_resnetv1_50_imagenet_224_224_0.65_2.45G INT8 · Vitis AI 3.0 (VART) · mid-size CNN	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA Jetson Thor T4000:

◌

No published image classification results for NVIDIA Jetson Thor T4000 or AMD Versal AI Core VCK190 (VC1902) 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 AMD Versal AI Core VCK190 (VC1902) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Versal AI Core VCK190 (VC1902)	2938 FPS E2E throughput, multi thread · b=unknown	tf2_2d-unet_nuclei_128_128_5.31G INT8 · Vitis AI 3.0 (VART) · mid-size CNN	D	unknown power n/a no power published	Vitis AI 3.0 Model Zoo performance table Older data (2023)

NVIDIA Jetson Thor T4000:

◌

No published semantic segmentation results for NVIDIA Jetson Thor T4000 or AMD Versal AI Core VCK190 (VC1902) 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 AMD Versal AI Core VCK190 (VC1902) or NVIDIA Jetson Thor T4000 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 Thor T4000 has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson Thor T4000	35.00 tok/s generation_throughput · b=1	Qwen 3 8B NVFP4 · vLLM · LLM 5–14B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated

AMD Versal AI Core VCK190 (VC1902):

◌

No published LLM generation results for AMD Versal AI Core VCK190 (VC1902) or NVIDIA Jetson Thor T4000 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.