AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs Minisforum MS-R1 (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

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)	Minisforum MS-R1 (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

Minisforum MS-R1 (as tested by Jeff Geerling):

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No published object detection results for Minisforum MS-R1 (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 Minisforum MS-R1 (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)

Minisforum MS-R1 (as tested by Jeff Geerling):

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No published pose estimation results for Minisforum MS-R1 (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)

Minisforum MS-R1 (as tested by Jeff Geerling):

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No published image classification results for Minisforum MS-R1 (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)

Minisforum MS-R1 (as tested by Jeff Geerling):

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No published semantic segmentation results for Minisforum MS-R1 (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 Minisforum MS-R1 (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 Minisforum MS-R1 (as tested by Jeff Geerling) has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Minisforum MS-R1 (as tested by Jeff Geerling)	34.52 tok/s generation_throughput · b=1	llama3.1:8b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B	C	unknown power not published not published	Jeff Geerling ai-benchmarks issue results (comments) 2025-11-10 (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 Minisforum MS-R1 (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.

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