Dell Pro Max with GB10 vs Intel N100

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Dell Pro Max with GB10 is faster in the only like-for-like comparison (largest gap: object detection, 1.29×).

	Dell Pro Max with GB10	Intel N100
Best object detection	78.73 FPS A undated	61.02 FPS D undated
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	2 of 7	2 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 unknown, batch unknown (size or batch not stated by source — unverified). Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Dell Pro Max with GB10	78.73 FPS throughput_offline · b=unknown	MLPerf yolo-95 fp4 · CUDA 13.0 · unknown	A	unknown power n/a no power published	MLPerf Inference v6.1 (closed, edge) ID Dell_Pro_Max_GB10x1 undated
Intel N100 CPU-only	61.02 FPS throughput (OpenVINO benchmark_app) · b=unknown	yolo_v8n INT8 · OpenVINO 2026.4.1 · unknown	D	unknown power n/a no power published	OpenVINO official performance benchmarks (graph-data-ov.json) undated

instance segmentation

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No published instance segmentation results for Dell Pro Max with GB10 or Intel N100 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 Dell Pro Max with GB10 or Intel N100 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 N100 has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel N100 CPU-only	478 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) undated

Dell Pro Max with GB10:

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No published image classification results for Dell Pro Max with GB10 or Intel N100 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

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No published semantic segmentation results for Dell Pro Max with GB10 or Intel N100 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 Dell Pro Max with GB10 or Intel N100 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 Dell Pro Max with GB10 has published LLM generation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Dell Pro Max with GB10	23.92 tok/s generation_throughput · b=1	DeepSeek R1 14b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 5–14B	C	138 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) undated

Intel N100:

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No published LLM generation results for Intel N100 or Dell Pro Max with GB10 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.