Dell Pro Max with GB10 vs NVIDIA Jetson AGX Orin 64GB

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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.

Split result: Dell Pro Max with GB10 is faster in 2 and NVIDIA Jetson AGX Orin 64GB in 1 of 3 like-for-like comparisons.

	Dell Pro Max with GB10	NVIDIA Jetson AGX Orin 64GB
Best LLM generation	97.93 tok/s C undated	273 tok/s C undated
Power	129 W measured	65.00 W spec
Perf / W	0.762 tok/s/W measured	4.20 tok/s/W spec
Price	n/a	$1999 list
Workloads with data	2 of 7	4 of 7

Best published LLM generation 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 nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n); batch unknown vs 1.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	435 FPS inference_time · b=1	YOLO26n INT8 · Ultralytics TensorRT · nano (YOLO-n)	B	65.00 W spec platform spec envelope (not measured with this result)	Ultralytics docs benchmark table undated
Dell Pro Max with GB10 MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1	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

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

instance segmentation

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No published instance segmentation results for Dell Pro Max with GB10 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.

pose estimation

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No published pose estimation results for Dell Pro Max with GB10 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.

image classification

Only NVIDIA Jetson AGX Orin 64GB has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	6424 FPS throughput_offline · b=unknown	MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN	D	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10

Dell Pro Max with GB10:

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No published image classification results for Dell Pro Max with GB10 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.

semantic segmentation

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No published semantic segmentation results for Dell Pro Max with GB10 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.

speech-to-text

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

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	1170 FPS throughput_offline · b=unknown	MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T	D	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) 2026-10

Dell Pro Max with GB10:

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No published speech-to-text results for Dell Pro Max with GB10 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

✓ Like-for-like: model-size class LLM 5–14B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
NVIDIA Jetson AGX Orin 64GB	30.00 tok/s generation_throughput · b=1	Qwen 3 8B W4A16 · vLLM · LLM 5–14B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated
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

✓ Like-for-like: model-size class LLM 15–40B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Dell Pro Max with GB10	87.97 tok/s generation_throughput · b=1	gpt-oss 20b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 15–40B	C	123 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) undated
NVIDIA Jetson AGX Orin 64GB	55.00 tok/s generation_throughput · b=1	Qwen3-30B-A3B W4A16 · vLLM · LLM 15–40B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated

✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Dell Pro Max with GB10	97.93 tok/s generation_throughput · b=1	Llama 3.2:3b as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM ≤4B	C	129 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) undated
NVIDIA Jetson AGX Orin 64GB	60.00 tok/s generation_throughput · b=1	Qwen3-VL-2B W4A16 · vLLM · LLM ≤4B	C	65.00 W spec platform spec envelope (not measured with this result)	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated

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.