AMD Zynq UltraScale+ ZCU102 (ZU9EG) vs Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | |
|---|---|---|
| Best object detection | 539 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 26.09 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 not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published object detection results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 391 FPS E2E throughput, multi thread · b=unknown | pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · mobile-class CNN | D | unknown power not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published pose estimation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 371 FPS E2E throughput, multi thread · b=unknown | pt_OFA-resnet50_imagenet_160_160_0.88_1.8G INT8 · Vitis AI 3.0 (VART) · mid-size CNN | D | unknown power not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published image classification results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 437 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 not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published semantic segmentation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG):
No published LLM generation results for AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) | Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | |
|---|---|---|
| Best object detection | 539 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 26.09 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 not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published object detection results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published pose estimation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 391 FPS E2E throughput, multi thread · b=unknown | pt_movenet_coco_192_192_0.5G INT8 · Vitis AI 3.0 (VART) · mobile-class CNN | D | unknown power not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published pose estimation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 371 FPS E2E throughput, multi thread · b=unknown | pt_OFA-resnet50_imagenet_160_160_0.88_1.8G INT8 · Vitis AI 3.0 (VART) · mid-size CNN | D | unknown power not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published image classification results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Zynq UltraScale+ ZCU102 (ZU9EG) | 437 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 not published not published | Vitis AI 3.0 Model Zoo performance table Older data (2023) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published semantic segmentation results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG) 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 Zynq UltraScale+ ZCU102 (ZU9EG):
No published LLM generation results for AMD Zynq UltraScale+ ZCU102 (ZU9EG) 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.
Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON