HWBenchedge-AI hardware data, cited & graded

Dell Pro Max with GB10 vs NVIDIA DGX Spark

DellAI mini-PC · no photo yet
No licensed photo available — placeholder drawing.
NVIDIA DGX Spark desktop AI computer, gold metal-foam chassis, oblique view on a wooden table
NVIDIA DGX Spark. Photo: Daniel Lu (User:dllu), CC BY-SA 4.0, via Wikimedia Commons.

NVIDIA DGX Spark is faster in the only like-for-like comparison (largest gap: LLM generation, 2.52×).

Dell Pro Max with GB10NVIDIA DGX Spark
Best LLM generation97.93 tok/s C
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191 tok/s C
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Power129 W measured153 W spec
Perf / W0.762 tok/s/W measured1.25 tok/s/W spec
Pricen/a$4699 list
Workloads with data2 of 72 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.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark990 FPS
inference_time · b=1
YOLO11n
FP16 · Ultralytics TensorRT · nano (YOLO-n)
B153 W spec
platform spec envelope (not measured with this result)
Ultralytics docs benchmark table
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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
Aunknown power n/a
no power published
MLPerf Inference v6.1 (closed, edge) ID Dell_Pro_Max_GB10x1
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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 DGX Spark 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 DGX Spark yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

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No published image classification results for Dell Pro Max with GB10 or NVIDIA DGX Spark 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 DGX Spark 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 NVIDIA DGX Spark 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.
PlatformResultModel · precision · stackGradePowerSource
NVIDIA DGX Spark60.39 tok/s
tg128 · b=1
Llama 2 7B
Q4_0 · llama.cpp Vulkan (FA on, commit 657e011) · LLM 5–14B
C153 W spec
platform spec envelope (not measured with this result)
llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API)
2026-10-10
Dell Pro Max with GB1023.92 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
C138 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
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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.