Intel Core Ultra 7 255H vs NVIDIA Jetson Thor T4000

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Split result: Intel Core Ultra 7 255H is faster in 2 and NVIDIA Jetson Thor T4000 in 2 of 4 like-for-like comparisons.

	Intel Core Ultra 7 255H	NVIDIA Jetson Thor T4000
Best LLM generation	115 tok/s D undated	423 tok/s C undated
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 Intel Core Ultra 7 255H or NVIDIA Jetson Thor T4000 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 Intel Core Ultra 7 255H or NVIDIA Jetson Thor T4000 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 Intel Core Ultra 7 255H or NVIDIA Jetson Thor T4000 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 Intel Core Ultra 7 255H or NVIDIA Jetson Thor T4000 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 Intel Core Ultra 7 255H or NVIDIA Jetson Thor T4000 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 Intel Core Ultra 7 255H or NVIDIA Jetson Thor T4000 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 255H	110 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_7-255H.csv) undated
NVIDIA Jetson Thor T4000	95.00 tok/s generation_throughput · b=1	Qwen3-VL-2B NVFP4 · vLLM · LLM ≤4B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated

✓ 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 Thor T4000	35.00 tok/s generation_throughput · b=1	Qwen 3 8B NVFP4 · vLLM · LLM 5–14B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated
Intel Core Ultra 7 255H	31.35 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_7-255H.csv) 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
NVIDIA Jetson Thor T4000	57.00 tok/s generation_throughput · b=1	Qwen3-30B-A3B NVFP4 · vLLM · LLM 15–40B	C	unknown power n/a no power published	NVIDIA Jetson AI Lab benchmarks (benchmarks.json) undated
Intel Core Ultra 7 255H	16.89 tok/s 2nd-token throughput, input 32 tokens · b=1	lfm2-24b-a2b INT4-MIXED · OpenVINO 2026.4.1 GenAI · LLM 15–40B	D	unknown power n/a no power published	OpenVINO official LLM benchmarks (llm_models_7-255H.csv) undated

✓ 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 255H	115 tok/s 2nd-token throughput, input 32 tokens · b=1	distil-large-v2 INT4-MIXED · OpenVINO 2026.4.1 GenAI · unknown	D	unknown power n/a no power published	OpenVINO official LLM benchmarks (llm_models_7-255H.csv) undated
NVIDIA Jetson Thor T4000	94.00 tok/s generation_throughput · b=1	Pi 0.5 NVFP4 + FP8 · TRT · unknown	C	unknown power n/a no power published	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.