Intel Core Ultra 7 258V (Lunar Lake) vs Minisforum MS-R1 (as tested by Jeff Geerling)

Macro photograph of the Intel Lunar Lake (Core Ultra 200V) processor tiles — Intel Core Ultra 9 288V (Lunar Lake) die tiles, macro photo; the 258V uses the same Lunar Lake design. Photo: FritzchensFritz, CC0, via Wikimedia Commons.

(independent test)independent test systemNo licensed photo yet

Intel Core Ultra 7 258V (Lunar Lake) is faster in all 2 like-for-like comparisons (largest gap: LLM generation, 2.59×).

	Intel Core Ultra 7 258V (Lunar Lake)	Minisforum MS-R1 (as tested by Jeff Geerling)
Best LLM generation	200 tok/s D 2026-10-01 (published)	71.36 tok/s C 2025-11-10 (page last edited)
Power	37.00 W Chip TDP, Accelerator only, host not included, max of range 8-37 W	n/a
Perf / W	5.41 tok/s/W Chip TDP, Accelerator only, host not included, max of range 8-37 W	n/a
Price	n/a	n/a
Workloads with data	2 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

Only Intel Core Ultra 7 258V (Lunar Lake) has published object detection results.

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	37.00 W Chip TDP, Accelerator only, host not included, max of range 8-37 W reported in result source — Chip TDP, Accelerator only, host not included, max of range 8-37 W	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)

Minisforum MS-R1 (as tested by Jeff Geerling):

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No published object detection results for Minisforum MS-R1 (as tested by Jeff Geerling) or Intel Core Ultra 7 258V (Lunar Lake) 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 258V (Lunar Lake) or Minisforum MS-R1 (as tested by Jeff Geerling) 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 Minisforum MS-R1 (as tested by Jeff Geerling) 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 258V (Lunar Lake) or Minisforum MS-R1 (as tested by Jeff Geerling) 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 258V (Lunar Lake) or Minisforum MS-R1 (as tested by Jeff Geerling) 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 Minisforum MS-R1 (as tested by Jeff Geerling) 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	37.00 W Chip TDP, Accelerator only, host not included, max of range 8-37 W reported in result source — Chip TDP, Accelerator only, host not included, max of range 8-37 W	OpenVINO official LLM benchmarks (llm_models_7-258V.csv) 2026-10-01 (published)
Minisforum MS-R1 (as tested by Jeff Geerling)	71.36 tok/s generation_throughput · b=1	llama3.2:3b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B	C	unknown power not published not published	Jeff Geerling ai-benchmarks issue results (comments) 2025-11-10 (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	37.00 W Chip TDP, Accelerator only, host not included, max of range 8-37 W reported in result source — Chip TDP, Accelerator only, host not included, max of range 8-37 W	OpenVINO official LLM benchmarks (llm_models_7-258V.csv) 2026-10-01 (published)
Minisforum MS-R1 (as tested by Jeff Geerling)	34.52 tok/s generation_throughput · b=1	llama3.1:8b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM 5–14B	C	unknown power not published not published	Jeff Geerling ai-benchmarks issue results (comments) 2025-11-10 (page last edited)

Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON