AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) vs Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only)
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) | Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) | |
|---|---|---|
| Best semantic segmentation | 1177 FPS D Older data (2023) | 5.24 FPS D Older data (2020) |
| Power | 75.00 W spec | n/a |
| Perf / W | 15.70 FPS/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 4 of 7 | 1 of 7 |
Best published semantic segmentation 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 spec platform spec envelope (not measured with this result) | AMD UG1354 Vitis AI Library performance tables undated |
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):
No published object detection results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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
No published instance segmentation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):
No published pose estimation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):
No published image classification results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 5.24 FPS inference_time · b=1 | Unet Mv2 (128x128) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: batch unknown vs 1 | 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 spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
speech-to-text
No published speech-to-text results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
No published LLM generation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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) | Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) | |
|---|---|---|
| Best object detection | 6100 FPS D Older data (2023) | 3.55 FPS D Older data (2019) |
| Power | 75.00 W spec | n/a |
| Perf / W | 81.34 FPS/W spec | n/a |
| Price | n/a | n/a |
| Workloads with data | 4 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 3.55 FPS inference_time · b=1 | MobileNet v2 SSD (224x224) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: batch unknown vs 1 | 6100 FPS E2E throughput, multi thread · b=unknown | tf_ssdmobilenetv1_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
instance segmentation
No published instance segmentation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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 spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only):
No published pose estimation results for Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 0.570 FPS inference_time · b=1 | ResNet-50 V1 (299x299) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1 | 63109 FPS E2E throughput, multi thread · b=unknown | tf_mobilenetv1-0.25_3.5 INT8 · Vitis AI 3.5 (VART) · mobile-class CNN | D | 75.00 W spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
semantic segmentation
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) CPU-only | 5.24 FPS inference_time · b=1 | Unet Mv2 (128x128) TFLite on CPU · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power n/a no power published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
| AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) MIXED: batch unknown vs 1 | 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 spec reported in result source — spec | Vitis AI 3.5 Model Zoo performance table Older data (2023) |
No shared like-for-like group exists for this pair.
speech-to-text
No published speech-to-text results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
No published LLM generation results for AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) or Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) 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
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.