Intel Core Ultra 9 288V vs Intel Xeon Gold 6154 desktop (CPU only, TFLite)

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Showing the newest results per platform and source. 18 superseded older results are hidden.Showing all results, including 18 superseded by newer results from the same source.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 Core Ultra 9 288V	Intel Xeon Gold 6154 desktop (CPU only, TFLite)
Best object detection	527 FPS D 2026-10-01 (published)	n/a
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	2 of 7	1 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

Only Intel Core Ultra 9 288V has published object detection results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 9 288V	52.88 FPS throughput (OpenVINO benchmark_app) · b=unknown	ssd-resnet34-1200 INT8 · OpenVINO 2026.4.1 · mid-size CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

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 Intel Core Ultra 9 288V yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

instance segmentation

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No published instance segmentation results for Intel Core Ultra 9 288V or Intel Xeon Gold 6154 desktop (CPU only, TFLite) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

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No published pose estimation results for Intel Core Ultra 9 288V or Intel Xeon Gold 6154 desktop (CPU only, TFLite) 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 Intel Core Ultra 9 288V has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 9 288V	4065 FPS throughput (OpenVINO benchmark_app) · b=unknown	mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

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 Intel Core Ultra 9 288V yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only Intel Xeon Gold 6154 desktop (CPU only, TFLite) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	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)

Intel Core Ultra 9 288V:

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No published semantic segmentation results for Intel Core Ultra 9 288V or Intel Xeon Gold 6154 desktop (CPU only, TFLite) 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

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No published speech-to-text results for Intel Core Ultra 9 288V or Intel Xeon Gold 6154 desktop (CPU only, TFLite) 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 Core Ultra 9 288V or Intel Xeon Gold 6154 desktop (CPU only, TFLite) 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.

	Intel Core Ultra 9 288V	Intel Xeon Gold 6154 desktop (CPU only, TFLite)
Best object detection	527 FPS D 2026-10-01 (published)	9.43 FPS D Older data (2019)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	2 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

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	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)
Intel Core Ultra 9 288V MIXED: model-size class unknown vs mobile-class CNN; batch unknown vs 1	527 FPS throughput (OpenVINO benchmark_app) · b=unknown	yolo_v8n FP16 · OpenVINO 2026.4.1 · unknown	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

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

instance segmentation

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pose estimation

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image classification

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

Platform	Result	Model · precision · stack	Grade	Power	Source
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)
Intel Core Ultra 9 288V MIXED: model-size class mobile-class CNN vs mid-size CNN; batch unknown vs 1	4065 FPS throughput (OpenVINO benchmark_app) · b=unknown	mobilenet-v2 INT8 · OpenVINO 2026.4.1 · mobile-class CNN	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published)

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

semantic segmentation

Only Intel Xeon Gold 6154 desktop (CPU only, TFLite) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Xeon Gold 6154 desktop (CPU only, TFLite) CPU-only	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)

Intel Core Ultra 9 288V:

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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.