AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) vs Intel Core Ultra 7 258V (Lunar Lake)

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Split result: AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) is faster in 1 and Intel Core Ultra 7 258V (Lunar Lake) in 7 of 8 like-for-like comparisons.

	AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	Intel Core Ultra 7 258V (Lunar Lake)
Best object detection	476 FPS B 2026-10-04 (page last edited)	300 FPS C 2026-09-27 (page last edited)
Power	120 W spec	n/a
Perf / W	3.97 FPS/W spec	n/a
Price	n/a	n/a
Workloads with data	2 of 7	2 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
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	476 FPS inference_time · b=1	YOLO26n FP32 · Ultralytics 8.4.165 ONNX Runtime MIGraphX EP · nano (YOLO-n)	B	120 W spec platform spec envelope (not measured with this result)	Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark 2026-10-04 (page last edited)
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)

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	251 FPS inference_time · b=1	YOLO26s INT8 · Ultralytics + OpenVINO 2026.2.1 · small (YOLO-s)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	213 FPS inference_time · b=1	YOLO26s FP32 · Ultralytics 8.4.165 ONNX Runtime MIGraphX EP · small (YOLO-s)	B	120 W spec platform spec envelope (not measured with this result)	Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark 2026-10-04 (page last edited)

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	175 FPS inference_time · b=1	YOLO26m INT8 · Ultralytics + OpenVINO 2026.2.1 · medium (YOLO-m)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	91.74 FPS inference_time · b=1	YOLO26m FP32 · Ultralytics 8.4.165 ONNX Runtime MIGraphX EP · medium (YOLO-m)	B	120 W spec platform spec envelope (not measured with this result)	Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark 2026-10-04 (page last edited)

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	134 FPS inference_time · b=1	YOLO26l INT8 · Ultralytics + OpenVINO 2026.2.1 · large (YOLO-l)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	66.67 FPS inference_time · b=1	YOLO26l FP32 · Ultralytics 8.4.165 ONNX Runtime MIGraphX EP · large (YOLO-l)	B	120 W spec platform spec envelope (not measured with this result)	Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark 2026-10-04 (page last edited)

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

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	73.05 FPS inference_time · b=1	YOLO26x INT8 · Ultralytics + OpenVINO 2026.2.1 · xlarge (YOLO-x)	C	unknown power n/a no power published	Ultralytics documentation: Intel OpenVINO integration benchmark 2026-09-27 (page last edited)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	36.90 FPS inference_time · b=1	YOLO26x FP32 · Ultralytics 8.4.165 ONNX Runtime MIGraphX EP · xlarge (YOLO-x)	B	120 W spec platform spec envelope (not measured with this result)	Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark 2026-10-04 (page last edited)

instance segmentation

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No published instance segmentation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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.

pose estimation

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No published pose estimation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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.

image classification

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No published image classification results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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.

semantic segmentation

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No published semantic segmentation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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.

speech-to-text

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No published speech-to-text results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) 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.

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)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	88.14 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	133 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)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) CPU-only	11.37 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	140 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 15–40B, batch 1. Model, precision and stack may still differ.

Platform	Result	Model · precision · stack	Grade	Power	Source
Intel Core Ultra 7 258V (Lunar Lake)	53.48 tok/s 2nd-token throughput, input 1024 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_7-258V.csv) 2026-10-01 (published)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)	47.50 tok/s generation_throughput · b=1	Qwen3-Coder 30B (MoE, 3.3B active) not stated per model · Ollama (OpenAI-compatible endpoint) · LLM 15–40B	C	120 W spec platform spec envelope (not measured with this result)	Adam Taylor (Adiuvo Engineering) (manual extraction) 2026-09-23 (published)

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.