Intel Xeon Gold 6154 desktop (CPU only, TFLite) vs Rockchip RK3566/RK3568 (NPU)

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Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.

No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.

	Intel Xeon Gold 6154 desktop (CPU only, TFLite)	Rockchip RK3566/RK3568 (NPU)
Best semantic segmentation	36.10 FPS D Older data (2020)	11.70 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	1 of 7	5 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 Rockchip RK3566/RK3568 (NPU) has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	27.10 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)

Intel Xeon Gold 6154 desktop (CPU only, TFLite):

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No published object detection results for Intel Xeon Gold 6154 desktop (CPU only, TFLite) or Rockchip RK3566/RK3568 (NPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

Only Rockchip RK3566/RK3568 (NPU) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	34.40 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)

Intel Xeon Gold 6154 desktop (CPU only, TFLite):

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No published instance segmentation results for Intel Xeon Gold 6154 desktop (CPU only, TFLite) or Rockchip RK3566/RK3568 (NPU) 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 Rockchip RK3566/RK3568 (NPU) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	23.70 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)

Intel Xeon Gold 6154 desktop (CPU only, TFLite):

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No published pose estimation results for Intel Xeon Gold 6154 desktop (CPU only, TFLite) or Rockchip RK3566/RK3568 (NPU) 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 Rockchip RK3566/RK3568 (NPU) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	192 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)

Intel Xeon Gold 6154 desktop (CPU only, TFLite):

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No published image classification results for Intel Xeon Gold 6154 desktop (CPU only, TFLite) or Rockchip RK3566/RK3568 (NPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class mid-size CNN vs mobile-class CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	11.70 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)
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only MIXED: model-size class mid-size CNN vs mobile-class CNN	36.10 FPS inference_time · b=1	Unet Mv2 (128x128) FP32/INT8 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)

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

speech-to-text

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No published speech-to-text results for Intel Xeon Gold 6154 desktop (CPU only, TFLite) or Rockchip RK3566/RK3568 (NPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

LLM generation

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No published LLM generation results for Intel Xeon Gold 6154 desktop (CPU only, TFLite) or Rockchip RK3566/RK3568 (NPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

Rockchip RK3566/RK3568 (NPU) is faster in all 2 like-for-like comparisons (largest gap: image classification, 18.65×).

	Intel Xeon Gold 6154 desktop (CPU only, TFLite)	Rockchip RK3566/RK3568 (NPU)
Best image classification	19.61 FPS D Older data (2019)	192 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	3 of 7	5 of 7

Best published image classification 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

⚠ MIXED COMPARISON — not like-for-like. Baseline small (YOLO-s) at batch 1. Differs: model-size class mobile-class CNN vs small (YOLO-s).

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	27.10 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)
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only MIXED: model-size class mobile-class CNN vs small (YOLO-s)	9.43 FPS inference_time · b=1	MobileNet v2 SSD (224x224) FP32/INT8 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)

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

instance segmentation

Only Rockchip RK3566/RK3568 (NPU) has published instance segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	34.40 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)

Intel Xeon Gold 6154 desktop (CPU only, TFLite):

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pose estimation

Only Rockchip RK3566/RK3568 (NPU) has published pose estimation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	23.70 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)

Intel Xeon Gold 6154 desktop (CPU only, TFLite):

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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
Rockchip RK3566/RK3568 (NPU)	192 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)
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	19.61 FPS inference_time · b=1	MobileNet v2 (224x224) FP32/INT8 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)

✓ 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 RK3566/RK3568 (NPU)	38.60 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)
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	2.07 FPS inference_time · b=1	ResNet-50 V1 (299x299) FP32/INT8 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)

semantic segmentation

⚠ MIXED COMPARISON — not like-for-like. Baseline mobile-class CNN at batch 1. Differs: model-size class mid-size CNN vs mobile-class CNN.

Platform	Result	Model · precision · stack	Grade	Power	Source
Rockchip RK3566/RK3568 (NPU)	11.70 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)
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only MIXED: model-size class mid-size CNN vs mobile-class CNN	36.10 FPS inference_time · b=1	Unet Mv2 (128x128) FP32/INT8 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)

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

speech-to-text

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LLM generation

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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.