HWBench

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) vs NVIDIA Jetson AGX Orin 64GB

NVIDIA Jetson AGX Orin developer kit with its retail box, on a black background
NVIDIA Jetson AGX Orin developer kit. Photo: Auledas, CC BY 4.0, via Wikimedia Commons.
Showing the newest results per platform and source. 12 superseded older results are hidden.Showing all results, including 12 superseded by newer results from the same source.

NVIDIA Jetson AGX Orin 64GB is faster in all 3 like-for-like comparisons (largest gap: semantic segmentation, 7.89×).

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)NVIDIA Jetson AGX Orin 64GB
Best object detection66.21 FPS D
2026-09-11 (page last edited)		435 FPS B
2026-10-13 (page last edited)
Powern/a65.00 W spec
Perf / Wn/a6.69 FPS/W spec
Pricen/a$3499 list
Workloads with data5 of 73 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 nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1		YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)		B65.00 W spec
platform spec envelope (not measured with this result)		Ultralytics documentation (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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)
✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB80.90 FPS
throughput · b=1		YOLO11s (640x640)
INT8 · TensorRT (ONNX export) · small (YOLO-s)		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

instance segmentation

Only Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published instance segmentation results.

PlatformResultModel · precision · stackGradePowerSource
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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

NVIDIA Jetson AGX Orin 64GB:

◌

No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB or 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.

pose estimation

Only Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

NVIDIA Jetson AGX Orin 64GB:

◌

No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or 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

Only Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published image classification results.

PlatformResultModel · precision · stackGradePowerSource
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		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

NVIDIA Jetson AGX Orin 64GB:

◌

No published image classification results for NVIDIA Jetson AGX Orin 64GB or 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.

semantic segmentation

✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB104 FPS
throughput · b=1		SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
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		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

speech-to-text

◌

No published speech-to-text results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1		Qwen 3 8B
W4A16 · vLLM · LLM 5–14B		C65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

◌

No published LLM generation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson AGX Orin 64GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

NVIDIA Jetson AGX Orin 64GB is faster in all 3 like-for-like comparisons (largest gap: semantic segmentation, 7.89×).

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox)NVIDIA Jetson AGX Orin 64GB
Best object detection66.21 FPS D
2026-09-11 (page last edited)		435 FPS B
2026-10-13 (page last edited)
Powern/a65.00 W spec
Perf / Wn/a6.69 FPS/W spec
Pricen/a$3499 list
Workloads with data5 of 75 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 nano (YOLO-n), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB435 FPS
inference_time · b=1		YOLO26n
INT8 · Ultralytics TensorRT · nano (YOLO-n)		B65.00 W spec
platform spec envelope (not measured with this result)		Ultralytics documentation (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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)
✓ Like-for-like: model-size class small (YOLO-s), batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB80.90 FPS
throughput · b=1		YOLO11s (640x640)
INT8 · TensorRT (ONNX export) · small (YOLO-s)		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

instance segmentation

Only Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published instance segmentation results.

PlatformResultModel · precision · stackGradePowerSource
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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

NVIDIA Jetson AGX Orin 64GB:

◌

No published instance segmentation results for NVIDIA Jetson AGX Orin 64GB or 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.

pose estimation

Only Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) has published pose estimation results.

PlatformResultModel · precision · stackGradePowerSource
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)		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

NVIDIA Jetson AGX Orin 64GB:

◌

No published pose estimation results for NVIDIA Jetson AGX Orin 64GB or 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

⚠ MIXED COMPARISON — not like-for-like. Baseline mid-size CNN at batch 1. Differs: batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
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		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)
NVIDIA Jetson AGX Orin 64GB
MIXED: batch unknown vs 1		6424 FPS
throughput_offline · b=unknown		MLPerf ResNet
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN		D65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)
Older data (2023)

No shared like-for-like group exists for this pair.

semantic segmentation

✓ Like-for-like: model-size class unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB104 FPS
throughput · b=1		SegFormer-B0 (640x640)
FP16 · TensorRT (ONNX export) · unknown		C65.00 W spec
platform spec envelope (not measured with this result)		arXiv 2608.00927 AgriJetsonBench (abstract figures)
2026-08-02 (published)
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		Dunknown power n/a
no power published		Microchip VectorBlox SDK tutorial metrics
2026-09-11 (page last edited)

speech-to-text

Only NVIDIA Jetson AGX Orin 64GB has published speech-to-text results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB1170 FPS
throughput_offline · b=unknown		MLPerf RNN-T
INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T		D65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson Benchmarks (MLPerf v3.1 results table)
Older data (2023)

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

◌

No published speech-to-text results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson AGX Orin 64GB 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 NVIDIA Jetson AGX Orin 64GB has published LLM generation results.

PlatformResultModel · precision · stackGradePowerSource
NVIDIA Jetson AGX Orin 64GB30.00 tok/s
generation_throughput · b=1		Qwen 3 8B
W4A16 · vLLM · LLM 5–14B		C65.00 W spec
platform spec envelope (not measured with this result)		NVIDIA Jetson AI Lab benchmarks (benchmarks.json)
2026-07-21 (page last edited)

Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox):

◌

No published LLM generation results for Microchip PolarFire SoC Video Kit (VectorBlox CoreVectorBlox) or NVIDIA Jetson AGX Orin 64GB 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.