AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)

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.

AMDPCIe accelerator cardNo licensed photo yet

(independent test)independent test systemNo licensed photo yet

Showing the newest results per platform and source. 11 superseded older results are hidden.Showing all results, including 11 superseded by newer results from the same source.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 Alveo V70 (Versal AI Core, XDNA AIE-ML)	Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
Best object detection	6100 FPS D Older data (2023)	n/a
Power	75.00 W Board TDP, Module	n/a
Perf / W	81.34 FPS/W Board TDP, Module	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 Alveo V70 (Versal AI Core, XDNA AIE-ML) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	85.28 FPS E2E throughput, multi thread · b=14	yolov5s6_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · small (YOLO-s)	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	AMD UG1354 Vitis AI Library performance tables undated

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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No published object detection results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	8327 FPS E2E throughput, multi thread · b=unknown	pt_movenet_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	Vitis AI 3.5 Model Zoo performance table Older data (2023)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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No published pose estimation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	7780 FPS E2E throughput, multi thread · b=unknown	pt_OFA-resnet50_0.88_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	Vitis AI 3.5 Model Zoo performance table Older data (2023)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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No published image classification results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	1177 FPS E2E throughput, multi thread · b=unknown	tf2_2D-UNET_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	Vitis AI 3.5 Model Zoo performance table Older data (2023)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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No published semantic segmentation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML) or Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)	214 tok/s generation_throughput · b=1	deepseek-r1:1.5b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B	C	320 W ● Measured, Whole system reported in result source — Measured, Whole system	Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (page last edited)

AMD Alveo V70 (Versal AI Core, XDNA AIE-ML):

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No published LLM generation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) 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 Alveo V70 (Versal AI Core, XDNA AIE-ML)	Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
Best object detection	6100 FPS D Older data (2023)	n/a
Power	75.00 W Board TDP, Module	n/a
Perf / W	81.34 FPS/W Board TDP, Module	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 Alveo V70 (Versal AI Core, XDNA AIE-ML) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	85.28 FPS E2E throughput, multi thread · b=14	yolov5s6_pt INT8 · Vitis AI 3.5 Library (VART), batch 14 DPU · small (YOLO-s)	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	AMD UG1354 Vitis AI Library performance tables undated

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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instance segmentation

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pose estimation

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	8327 FPS E2E throughput, multi thread · b=unknown	pt_movenet_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	Vitis AI 3.5 Model Zoo performance table Older data (2023)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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image classification

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	7780 FPS E2E throughput, multi thread · b=unknown	pt_OFA-resnet50_0.88_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	Vitis AI 3.5 Model Zoo performance table Older data (2023)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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semantic segmentation

Only AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
AMD Alveo V70 (Versal AI Core, XDNA AIE-ML)	1177 FPS E2E throughput, multi thread · b=unknown	tf2_2D-UNET_3.5 INT8 · Vitis AI 3.5 (VART) · mid-size CNN	D	75.00 W Board TDP, Module reported in result source — Board TDP, Module	Vitis AI 3.5 Model Zoo performance table Older data (2023)

Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):

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speech-to-text

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LLM generation

Only Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)	214 tok/s generation_throughput · b=1	deepseek-r1:1.5b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B	C	320 W ● Measured, Whole system reported in result source — Measured, Whole system	Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (page last edited)

AMD Alveo V70 (Versal AI Core, XDNA AIE-ML):

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Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON