Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) vs Rockchip RK3588 (NPU, single core of 3)
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Split result: Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) is faster in 2 and Rockchip RK3588 (NPU, single core of 3) in 8 of 10 like-for-like comparisons.
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | Rockchip RK3588 (NPU, single core of 3) | |
|---|---|---|
| Best object detection | 66.21 FPS D 2026-09-11 (page last edited) | 109 FPS C 2026-10-13 (page last edited) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 5 of 7 | 5 of 7 |
Best published object detection result per platform (may be from different like-for-like groups — see data). n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 66.50 FPS throughput · b=1 | yolov5s_relu INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · small (YOLO-s) | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 30.35 FPS inference_time · b=1 | yolov9s_70s_15p_512x288 INT8 (VNNX) · VectorBlox SDK (VNNX), unstructured compression · small (YOLO-s) | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 109 FPS throughput · b=1 | yolov6n INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · nano (YOLO-n) | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 66.21 FPS inference_time · b=1 | yolov5n_512x288 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · nano (YOLO-n) | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
✓ Like-for-like: model-size class medium (YOLO-m), batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 20.90 FPS throughput · b=1 | yolov5m INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · medium (YOLO-m) | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 6.02 FPS inference_time · b=1 | yolov5m.relu INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · medium (YOLO-m) | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 73.60 FPS throughput · b=1 | yolov7-tiny INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · unknown | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 58.05 FPS inference_time · b=1 | 132_YOLOX INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · unknown | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
instance segmentation
✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 71.50 FPS throughput · b=1 | yolov5n-seg INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · nano (YOLO-n) | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 14.13 FPS inference_time · b=1 | yolov8n-seg INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · nano (YOLO-n) | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
pose estimation
✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 64.49 FPS inference_time · b=1 | yolov8n_pose_50s_25p_512x288_split INT8 (VNNX) · VectorBlox SDK (VNNX), unstructured compression · nano (YOLO-n) | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
| Rockchip RK3588 (NPU, single core of 3) | 58.30 FPS throughput · b=1 | yolov8n-pose INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · nano (YOLO-n) | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
image classification
✓ Like-for-like: model-size class mobile-class CNN, batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 672 FPS inference_time · b=1 | mobilenet-v1-0.25-128 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · mobile-class CNN | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
| Rockchip RK3588 (NPU, single core of 3) | 459 FPS throughput · b=1 | mobilenetv2-12 INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mobile-class CNN | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
✓ Like-for-like: model-size class mid-size CNN, batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 113 FPS throughput · b=1 | resnet50-v2-7 INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mid-size CNN | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 68.35 FPS inference_time · b=1 | resnet18_86s_07p INT8 (VNNX) · VectorBlox SDK (VNNX), unstructured compression · mid-size CNN | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
semantic segmentation
✓ Like-for-like: model-size class mobile-class CNN, batch 1. Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 34.70 FPS throughput · b=1 | deeplab-v3-plus-mobilenet-v2 INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · mobile-class CNN | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 3.24 FPS inference_time · b=1 | DeepLabV3-Plus-MobileNet_512x288 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · mobile-class CNN | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Rockchip RK3588 (NPU, single core of 3) | 42.70 FPS throughput · b=1 | ppseg_lite_1024x512 INT8 · RKNN-Toolkit2 / RKNPU (rknn_model_zoo) · unknown | C | unknown power n/a no power published | Rockchip rknn_model_zoo README benchmark table 2026-10-13 (page last edited) |
| Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) | 13.13 FPS inference_time · b=1 | FFNet-122NS-LowRes_512x288 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression · unknown | D | unknown power n/a no power published | Microchip VectorBlox SDK tutorial metrics 2026-09-11 (page last edited) |
speech-to-text
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No published speech-to-text results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Rockchip RK3588 (NPU, single core of 3) 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or Rockchip RK3588 (NPU, single core of 3) 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.