Axelera Metis Edge 130p PCIe card (16GB) vs Dell Pro Max with GB10

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Dell Pro Max with GB10 is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 8.86×).

	Axelera Metis Edge 130p PCIe card (16GB)	Dell Pro Max with GB10
Best LLM generation	33.80 tok/s C 2026-10-15 (page last edited)	97.93 tok/s C 2026-09-22 (page last edited)
Power	n/a	129 W measured
Perf / W	n/a	0.762 tok/s/W measured
Price	n/a	n/a
Workloads with data	1 of 7	2 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

Only Dell Pro Max with GB10 has published object detection results.

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 division, edge suite 2026-09-16 (published)

Axelera Metis Edge 130p PCIe card (16GB):

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No published object detection results for Axelera Metis Edge 130p PCIe card (16GB) 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.

instance segmentation

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No published instance segmentation results for Axelera Metis Edge 130p PCIe card (16GB) 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.

pose estimation

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No published pose estimation results for Axelera Metis Edge 130p PCIe card (16GB) 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.

image classification

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No published image classification results for Axelera Metis Edge 130p PCIe card (16GB) 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.

semantic segmentation

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No published semantic segmentation results for Axelera Metis Edge 130p PCIe card (16GB) 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.

speech-to-text

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No published speech-to-text results for Axelera Metis Edge 130p PCIe card (16GB) 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.

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
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) 2026-09-22 (page last edited)
Axelera Metis Edge 130p PCIe card (16GB)	2.70 tok/s generation_throughput · b=1	qwen3-8b not stated · Voyager SDK model_axscript.llm · LLM 5–14B	C	unknown power n/a no power published	Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited)

✓ 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) 2026-09-22 (page last edited)
Axelera Metis Edge 130p PCIe card (16GB)	19.40 tok/s generation_throughput · b=1	qwen3-0.6b not stated · Voyager SDK model_axscript.llm · LLM ≤4B	C	unknown power n/a no power published	Axelera Voyager SDK model zoo (docs/reference/models/model-zoo.md) 2026-10-15 (page last edited)

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.