HWBench

AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) vs Dell Pro Max with GB10

Split result: AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) is faster in 1 and Dell Pro Max with GB10 in 3 of 4 like-for-like comparisons.

AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)Dell Pro Max with GB10
Best LLM generation94.64 tok/s C
2026-10-02 (page last edited)
97.93 tok/s C
2026-09-22 (page last edited)
Power120 W spec129 W measured
Perf / W0.789 tok/s/W spec0.762 tok/s/W measured
Pricen/an/a
Workloads with data2 of 72 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

⚠ MIXED COMPARISON — not like-for-like. Baseline nano (YOLO-n) at batch 1. Differs: model-size class unknown vs nano (YOLO-n); batch unknown vs 1.
PlatformResultModel · precision · stackGradePowerSource
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)
B120 W spec
platform spec envelope (not measured with this result)
Ultralytics documentation: AMD ROCm/MIGraphX integration benchmark
2026-10-04 (page last edited)
Dell Pro Max with GB10
MIXED: model-size class unknown vs nano (YOLO-n); batch unknown vs 1
78.73 FPS
throughput_offline · b=unknown
MLPerf yolo-95
fp4 · CUDA 13.0 · unknown
Aunknown power n/a
no power published
MLPerf Inference v6.1, closed division, edge suite
2026-09-16 (published)

No shared like-for-like group exists for this pair.

instance segmentation

◌

No published instance segmentation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Dell Pro Max with GB10 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

pose estimation

◌

No published pose estimation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Dell Pro Max with GB10 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

image classification

◌

No published image classification results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Dell Pro Max with GB10 yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.

semantic segmentation

◌

No published semantic segmentation results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Dell Pro Max with GB10 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

◌

No published speech-to-text results for AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) or Dell Pro Max with GB10 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 5–14B, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Dell Pro Max with GB1023.92 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
C138 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
2026-09-22 (page last edited)
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S) CPU-only11.37 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
C140 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.
PlatformResultModel · precision · stackGradePowerSource
Dell Pro Max with GB1087.97 tok/s
generation_throughput · b=1
gpt-oss 20b
as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM 15–40B
C123 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
2026-09-22 (page last edited)
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
C120 W spec
platform spec envelope (not measured with this result)
Adam Taylor (Adiuvo Engineering) (manual extraction)
2026-09-23 (published)
✓ Like-for-like: model-size class LLM ≤4B, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
Dell Pro Max with GB1097.93 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
C129 W measured
reported in result source — measured
Jeff Geerling ai-benchmarks README (Findings tables)
2026-09-22 (page last edited)
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
C133 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 >40B, batch 1. Model, precision and stack may still differ.
PlatformResultModel · precision · stackGradePowerSource
AMD Ryzen AI Max+ 395 / PRO 395 (Strix Halo, Radeon 8060S)47.80 tok/s
generation_throughput · b=1
Qwen3.8-Flash-Next 125B (MoE, 6B active)
not stated · gfx1151 native engine with speculative decoding (not Ollama) · LLM >40B
C120 W spec
platform spec envelope (not measured with this result)
Adam Taylor (Adiuvo Engineering) (manual extraction)
2026-09-23 (published)
Dell Pro Max with GB104.71 tok/s
generation_throughput · b=1
Llama 3.1:70b
as in linked issue (Ollama default tags are 4-bit) · Ollama / llama.cpp (see linked issue) · LLM >40B
C156 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.