AMD Ryzen AI Max+ (Strix Halo) iGPU vs Google Coral Dev Board (Edge TPU)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| AMD Ryzen AI Max+ (Strix Halo) iGPU | Google Coral Dev Board (Edge TPU) | |
|---|---|---|
| Best LLM generation | 54.38 tok/s C 2026-10-10 | n/a |
| Power | 120 W spec | n/a |
| Perf / W | 0.453 tok/s/W spec | n/a |
| Price | $3999 list | n/a |
| Workloads with data | 1 of 7 | 1 of 7 |
Best published LLM generation result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
No published object detection results for AMD Ryzen AI Max+ (Strix Halo) iGPU or Google Coral Dev Board (Edge TPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
instance segmentation
No published instance segmentation results for AMD Ryzen AI Max+ (Strix Halo) iGPU or Google Coral Dev Board (Edge TPU) 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+ (Strix Halo) iGPU or Google Coral Dev Board (Edge TPU) 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 Google Coral Dev Board (Edge TPU) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral Dev Board (Edge TPU) | 175 FPS inference_time · b=1 | Unet Mv2 (128x128) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | 2.00 W spec platform spec envelope (not measured with this result) | Google Coral Edge TPU benchmarks page (Table 1) undated |
AMD Ryzen AI Max+ (Strix Halo) iGPU:
No published image classification results for AMD Ryzen AI Max+ (Strix Halo) iGPU or Google Coral Dev Board (Edge TPU) 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+ (Strix Halo) iGPU or Google Coral Dev Board (Edge TPU) 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+ (Strix Halo) iGPU or Google Coral Dev Board (Edge TPU) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
Only AMD Ryzen AI Max+ (Strix Halo) iGPU has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| AMD Ryzen AI Max+ (Strix Halo) iGPU | 54.38 tok/s tg128 · b=1 | Llama 2 7B Q4_0 · llama.cpp Vulkan (FA on, commit fb4b273) · LLM 5–14B | C | 120 W spec platform spec envelope (not measured with this result) | llama.cpp discussion #10879 Vulkan scoreboard (via GitHub API) 2026-10-10 |
Google Coral Dev Board (Edge TPU):
No published LLM generation results for Google Coral Dev Board (Edge TPU) or AMD Ryzen AI Max+ (Strix Halo) iGPU yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
How to read these numbers
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.