Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) vs Radxa Oryon O6 Mini ITX Board (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.
| Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) | Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | |
|---|---|---|
| Best image classification | 182 FPS D 2026-08-10 (published) | 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 image classification 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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) | 182 FPS throughput · b=1 | ResNet18 (PyTorch) not stated in table · FPGA AI Suite on-chip parameter streaming; IP throughput · mid-size CNN | D | unknown power not published not published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published image classification results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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
No published speech-to-text results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | 214 tok/s generation_throughput · b=1 | deepseek-r1:1.5b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B | C | 320 W ● Measured, Whole system reported in result source — Measured, Whole system | Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (page last edited) |
Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):
No published LLM generation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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.
| Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) | Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | |
|---|---|---|
| Best image classification | 182 FPS D 2026-08-10 (published) | 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 image classification 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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) | 182 FPS throughput · b=1 | ResNet18 (PyTorch) not stated in table · FPGA AI Suite on-chip parameter streaming; IP throughput · mid-size CNN | D | unknown power not published not published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling):
No published image classification results for Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) or Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) 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 Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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
No published speech-to-text results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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 Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Radxa Oryon O6 Mini ITX Board (as tested by Jeff Geerling) | 214 tok/s generation_throughput · b=1 | deepseek-r1:1.5b Ollama default tag (4-bit unless tag says otherwise) · Ollama (geerlingguy/ollama-benchmark) · LLM ≤4B | C | 320 W ● Measured, Whole system reported in result source — Measured, Whole system | Jeff Geerling ai-benchmarks issue results (comments) 2025-05-06 (page last edited) |
Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite):
No published LLM generation results for Altera Agilex 7 FPGA I-Series Development Kit (FPGA AI Suite) or Radxa Oryon O6 Mini ITX Board (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