Intel Core Ultra 7 258V (Lunar Lake) vs Raspberry Pi 5 (CPU only)

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Raspberry Pi 5 single-board computer, top view, showing the Broadcom SoC, RAM, USB and Ethernet ports — Raspberry Pi 5. Photo: SimonWaldherr, CC BY 4.0, via Wikimedia Commons.

Intel Core Ultra 7 258V (Lunar Lake) is faster in all 3 like-for-like comparisons (largest gap: LLM generation, 74.40×).

	Intel Core Ultra 7 258V (Lunar Lake)	Raspberry Pi 5 (CPU only)
Best object detection	300 FPS C 2026-09-27 (page last edited)	14.92 FPS B 2026-10-03 (page last edited)
Power	n/a	n/a
Perf / W	n/a	n/a
Price	n/a	n/a
Workloads with data	2 of 7	4 of 7

Best published object detection 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

✓ Like-for-like: model-size class nano (YOLO-n), batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	300 FPS inference_time · b=1	YOLO26n FP32 · Ultralytics + OpenVINO 2026.2.1 · nano (YOLO-n)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
Raspberry Pi 5 (CPU only) CPU-only	14.92 FPS inference_time · b=1	YOLO26n FP32/default · Ultralytics NCNN · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation (benchmark table) 2026-10-03 (page last edited)

instance segmentation

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No published instance segmentation results for Intel Core Ultra 7 258V (Lunar Lake) or Raspberry Pi 5 (CPU only) 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 258V (Lunar Lake) or Raspberry Pi 5 (CPU only) 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 Raspberry Pi 5 (CPU only) has published image classification results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Raspberry Pi 5 (CPU only) CPU-only	29.59 FPS inference_time · b=1	YOLO26n-cls FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation: Hailo integration benchmark 2026-10-11 (page last edited)

Intel Core Ultra 7 258V (Lunar Lake):

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No published image classification results for Intel Core Ultra 7 258V (Lunar Lake) or Raspberry Pi 5 (CPU only) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

Only Raspberry Pi 5 (CPU only) has published semantic segmentation results.

Platform	Result	Model · precision · stack	Grade	Power	Source
Raspberry Pi 5 (CPU only) CPU-only	1.20 FPS inference_time · b=1	YOLO26n-sem FP32 · Ultralytics PyTorch (CPU) · nano (YOLO-n)	B	unknown power n/a no power published	Ultralytics documentation: Hailo integration benchmark 2026-10-11 (page last edited)

Intel Core Ultra 7 258V (Lunar Lake):

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No published semantic segmentation results for Intel Core Ultra 7 258V (Lunar Lake) or Raspberry Pi 5 (CPU only) 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 258V (Lunar Lake) or Raspberry Pi 5 (CPU only) 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 258V (Lunar Lake)	135 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_7-258V.csv) 2026-10-01 (published)
Raspberry Pi 5 (CPU only) CPU-only	4.88 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	11.90 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) 2026-09-22 (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 258V (Lunar Lake)	89.29 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_7-258V.csv) 2026-10-01 (published)
Raspberry Pi 5 (CPU only) CPU-only	1.20 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	13.00 W measured reported in result source — measured	Jeff Geerling ai-benchmarks README (Findings tables) 2026-09-22 (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.