Google Coral Dev Board (Edge TPU) vs Minisforum MS-R1 (as tested by Jeff Geerling)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Google Coral Dev Board (Edge TPU) | Minisforum MS-R1 (as tested by Jeff Geerling) | |
|---|---|---|
| Best semantic segmentation | 175 FPS D Older data (2020) | n/a |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 1 of 7 | 1 of 7 |
Best published semantic segmentation 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 Google Coral Dev Board (Edge TPU) 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.
instance segmentation
No published instance segmentation results for Google Coral Dev Board (Edge TPU) 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
No published pose estimation results for Google Coral Dev Board (Edge TPU) 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
No published image classification results for Google Coral Dev Board (Edge TPU) 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
Only Google Coral Dev Board (Edge TPU) has published semantic segmentation 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 | unknown power not published not published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published semantic segmentation results for Minisforum MS-R1 (as tested by Jeff Geerling) 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 Google Coral Dev Board (Edge TPU) 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
Only Minisforum MS-R1 (as tested by Jeff Geerling) has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| 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) |
Google Coral Dev Board (Edge TPU):
No published LLM generation results for Google Coral Dev Board (Edge TPU) 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.
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| Google Coral Dev Board (Edge TPU) | Minisforum MS-R1 (as tested by Jeff Geerling) | |
|---|---|---|
| Best object detection | 90.91 FPS D Older data (2019) | n/a |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 3 of 7 | 1 of 7 |
Best published object detection result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only Google Coral Dev Board (Edge TPU) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Google Coral Dev Board (Edge TPU) | 90.91 FPS inference_time · b=1 | MobileNet v1 SSD (224x224) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mobile-class CNN | D | unknown power not published not published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published object detection results for Minisforum MS-R1 (as tested by Jeff Geerling) 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 Google Coral Dev Board (Edge TPU) 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
No published pose estimation results for Google Coral Dev Board (Edge TPU) 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
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) | 17.86 FPS inference_time · b=1 | ResNet-50 V1 (299x299) INT8 · TensorFlow Lite C++ benchmark (Edge TPU runtime) · mid-size CNN | D | unknown power not published not published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2019) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published image classification results for Minisforum MS-R1 (as tested by Jeff Geerling) 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
Only Google Coral Dev Board (Edge TPU) has published semantic segmentation 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 | unknown power not published not published | Google Coral Edge TPU benchmarks page (Table 1) Older data (2020) |
Minisforum MS-R1 (as tested by Jeff Geerling):
No published semantic segmentation results for Minisforum MS-R1 (as tested by Jeff Geerling) 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 Google Coral Dev Board (Edge TPU) 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
Only Minisforum MS-R1 (as tested by Jeff Geerling) has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| 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) |
Google Coral Dev Board (Edge TPU):
No published LLM generation results for Google Coral Dev Board (Edge TPU) 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.
Grades: A audited MLPerf · B third-party · C community · D vendor. How we rank · JSON