Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox): edge AI benchmarks
Best published result per workload, across model sizes — open “Show data” for like-for-like groups.
Show data — per-workload tables
object detection
| Like-for-like group | Best result | Model · precision · stack | Grade | Power | Source · date | Rank in group |
|---|---|---|---|---|---|---|
| mobile-class CNN · b=1 | 25.81 FPS | torchvision_ssdlite320_mobilenet_v3_large INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 1 of 1 |
| medium (YOLO-m) · b=1 | 6.02 FPS | yolov5m.relu INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 8 of 8 |
| nano (YOLO-n) · b=1 | 66.21 FPS | yolov5n_512x288 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 14 of 16 |
| small (YOLO-s) · b=1 | 30.35 FPS | yolov9s_70s_15p_512x288 INT8 (VNNX) · VectorBlox SDK (VNNX), unstructured compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 8 of 8 |
| unknown · b=1 | 58.05 FPS | 132_YOLOX INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 7 of 7 |
instance segmentation
| Like-for-like group | Best result | Model · precision · stack | Grade | Power | Source · date | Rank in group |
|---|---|---|---|---|---|---|
| nano (YOLO-n) · b=1 | 14.13 FPS | yolov8n-seg INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 5 of 5 |
pose estimation
No published pose estimation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| Like-for-like group | Best result | Model · precision · stack | Grade | Power | Source · date | Rank in group |
|---|---|---|---|---|---|---|
| mid-size CNN · b=1 | 68.35 FPS | resnet18_86s_07p INT8 (VNNX) · VectorBlox SDK (VNNX), unstructured compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 11 of 13 |
| mobile-class CNN · b=1 | 672 FPS | mobilenet-v1-0.25-128 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 8 of 16 |
| large (YOLO-l) · b=1 | 10.43 FPS | yolov8l-cls INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 1 of 1 |
| medium (YOLO-m) · b=1 | 27.05 FPS | yolov8m-cls INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 1 of 1 |
| nano (YOLO-n) · b=1 | 244 FPS | yolov8n-cls INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 3 of 4 |
| small (YOLO-s) · b=1 | 86.81 FPS | yolov8s-cls INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 1 of 1 |
| xlarge (YOLO-x) · b=1 | 3.67 FPS | yolov8x-cls INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 1 of 1 |
| unknown · b=1 | 99.88 FPS | onnx_squeezenet1.1 INT8 (VNNX) · VectorBlox SDK (VNNX), no compression | D | unknown power n/a | Microchip VectorBlox SDK tutorial metrics undated | 3 of 5 |
semantic segmentation
No published semantic segmentation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) 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 Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) 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) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
Compare with another platform (99)
8xMI355X_2xEPYC_9575F (8x AMD Instinct MI355X 288GB HBM3e) · AMD Alveo V70 (Versal AI Core, XDNA AIE-ML) · AMD Kria KV260 Vision AI Starter Kit (K26 SOM) · AMD Ryzen AI Max+ (Strix Halo) iGPU · AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) · AMD Ryzen AI processor (SKU not stated) · AMD Versal AI Core VCK190 (VC1902) · AMD Versal AI Edge VEK280 (VE2802) · AMD Zynq UltraScale+ ZCU102 (ZU9EG) · AMD Zynq UltraScale+ ZCU104 (ZU7EV) · Altera Agilex 5 FPGA E-Series 065B Modular Development Kit (FPGA AI Suite, OFS PCIe) · Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) · Apple M4 (10-core GPU, 120 GB/s) · Apple Mac mini M4 Pro 64GB · Cisco UCS C880A M8 (8x NVIDIA B300-SXM-270GB) · Coral Dev Board CPU (quad Cortex-A53 @1.5 GHz, CPU only) · CoreWeave GB200 NVL72 (4x NVIDIA GB200) · CoreWeave GB300 NVL72 (4x NVIDIA GB300) · Dell Pro Max with GB10 · G8825Z5 (8x AMD Instinct MI350X 288GB HBM3e) · G894-AD3-AAX7 (8x NVIDIA B300-SXM-270GB) · G894-SD3-AAX7 (8x NVIDIA B300-SXM-270GB) · G894-ZD3-AAX7 (8x NVIDIA B300-SXM-270GB) · Google Coral Dev Board (Edge TPU) · Google Coral USB Accelerator (Edge TPU) on Xeon Gold 6154 host, USB 3.0 · HPE ProLiant Compute DL380a Gen12 (10x NVIDIA RTX PRO 6000 Blackwell Server Edition) · HPE ProLiant Compute DL380a Gen12 (8x NVIDIA RTX PRO 6000 Blackwell Server Edition) · HPE ProLiant Compute XD685 (8x AMD Instinct MI355X 288GB HBM3e) · HPE ProLiant DL385 Gen11 (4x NVIDIA RTX PRO 6000 Blackwell Server Edition) · Hailo-10H (M.2/PCIe, x86 host) · Hailo-8 (M.2/PCIe, x86 host) · Hailo-8L (M.2/PCIe, x86 host) · Intel Arc A-Series Graphics · Intel Arc B-Series Graphics · Intel Atom X6425E · Intel Atom x7425E · Intel Celeron 6305E · Intel Core 5 330 · Intel Core Ultra 7 155H · Intel Core Ultra 7 155H (Meteor Lake) · Intel Core Ultra 7 255H · Intel Core Ultra 7 258V (Lunar Lake) · Intel Core Ultra 7 265H · Intel Core Ultra 7 368H · Intel Core Ultra 9 288V · Intel Core Ultra X7 358H (Panther Lake) · Intel Core i5-1235U · Intel Core i5-1335U · Intel Core i5-13600K · Intel Core i7-1185G7 · Intel Core i7-1185GRE · Intel Core i7-12700H · Intel Core i7-1355U · Intel Data Center GPU Flex 170 · Intel N100 · Intel Xeon Gold 5218T · Intel Xeon Gold 6154 desktop (CPU only, TFLite) · Intel Xeon Gold 6338N · Intel Xeon Platinum 6972P · Intel Xeon Platinum 8280 · Intel Xeon Platinum 8380 · Intel Xeon Platinum 8480+ · Intel Xeon Platinum 8580 · Lattice Avant-E Evaluation Board (sensAI) · Lattice CertusPro-NX Voice and Vision ML Board (sensAI) · Lattice CrossLink-NX-33 Voice and Vision ML Board (sensAI) · Lattice iCE40 UltraPlus Mobile Development Platform (sensAI) · NVIDIA DGX B200 (8x NVIDIA B200-SXM-180GB) · NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) · NVIDIA DGX Spark · NVIDIA GB200 NVL72 (4x NVIDIA GB200) · NVIDIA GB300 NVL72 (4x NVIDIA GB300) · NVIDIA Jetson AGX Orin 64GB · NVIDIA Jetson AGX Thor · NVIDIA Jetson Orin NX 16GB · NVIDIA Jetson Orin Nano Super · NVIDIA Jetson Thor T4000 · Nebius B300 n1 (8x NVIDIA B300-SXM-270GB) · Nebius GB300 NVL72 (4x NVIDIA GB300) · Qualcomm Dragonwing IQ-9075 EVK · Qualcomm Dragonwing RB3 Gen 2 (QCS6490) · Qualcomm Snapdragon X Elite (CRD) · Qualcomm Snapdragon X2 Elite (CRD) · QuantaGrid D75H-10U (8x NVIDIA B300-SXM-270GB) · Raspberry Pi 5 (CPU only) · Raspberry Pi 5 + AI HAT+ (Hailo-8) · Rockchip RK1808 (NPU) · Rockchip RK3562 (NPU) · Rockchip RK3566/RK3568 (NPU) · Rockchip RK3576 (NPU, single core of 2) · Rockchip RK3588 (NPU, single core of 3) · Rockchip RV1109 (NPU) · Rockchip RV1126 (NPU) · Rockchip RV1126B (NPU) · TI AM68A (8 TOPS) · TRIGKEY Mini PC (AMD Ryzen 5 5560U, CPU) · Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) · XA NB3I-E12 (8x NVIDIA B300-SXM-270GB) · XE7745_8xMI350P_2xEPYC_9455 (8x AMD Instinct MI350P)
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.