Axelera Metis Edge 130p PCIe card (16GB) vs Intel Core Ultra 7 368H

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Intel Core Ultra 7 368H is faster in all 3 like-for-like comparisons (largest gap: LLM generation, 30.86×).

	Axelera Metis Edge 130p PCIe card (16GB)	Intel Core Ultra 7 368H
Best LLM generation	33.80 tok/s C 2026-10-15 (page last edited)	250 tok/s D 2026-10-01 (published)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	1 of 7	1 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

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No published object detection results for Axelera Metis Edge 130p PCIe card (16GB) or Intel Core Ultra 7 368H 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 Intel Core Ultra 7 368H 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 Intel Core Ultra 7 368H 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 Intel Core Ultra 7 368H 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 Intel Core Ultra 7 368H 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 Intel Core Ultra 7 368H 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 ≤4B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 368H	250 tok/s 2nd-token throughput, input 32 tokens · b=1	minicpm4-0.5b INT4-MIXED · OpenVINO 2026.4.1 GenAI · LLM ≤4B	D	unknown power n/a no power published	OpenVINO official LLM benchmarks (llm_models_7-368H.csv) 2026-10-01 (published)
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)

✓ 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
Intel Core Ultra 7 368H	83.33 tok/s 2nd-token throughput, input 32 tokens · b=1	lfm2-8b-a1b INT4-MIXED · OpenVINO 2026.4.1 GenAI · LLM 5–14B	D	unknown power n/a no power published	OpenVINO official LLM benchmarks (llm_models_7-368H.csv) 2026-10-01 (published)
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 unknown, batch 1 (size or batch not stated by source — unverified). Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 368H	227 tok/s 2nd-token throughput, input 1024 tokens · b=1	gemma-3-270m INT4-MIXED · OpenVINO 2026.4.1 GenAI · unknown	D	unknown power n/a no power published	OpenVINO official LLM benchmarks (llm_models_7-368H.csv) 2026-10-01 (published)
Axelera Metis Edge 130p PCIe card (16GB)	33.80 tok/s generation_throughput · b=1	lfm2.5-350m not stated · Voyager SDK model_axscript.llm · unknown	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.