Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) vs TI AM68A (8 TOPS)
Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) is faster in the only like-for-like comparison (largest gap: object detection, 1.40×).
| Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) | TI AM68A (8 TOPS) | |
|---|---|---|
| Best object detection | 117 FPS D 2026-08-10 (published) | 83.75 FPS C Older data (2024) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | $174.197 list |
| Workloads with data | 3 of 7 | 1 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
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) | 117 FPS throughput · b=1 | yolo-v3-tiny-tf FP16 · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · unknown | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
| TI AM68A (8 TOPS) | 83.75 FPS inference_time · b=1 | yolov7_tiny INT8 · TI Edge AI SDK / TIDL (edgeai-benchmark) · unknown | C | unknown power n/a no power published | TI edgeai-tensorlab tech report: speed/accuracy of object detection models (AM68A) Older data (2024) |
instance segmentation
No published instance segmentation results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) or TI AM68A (8 TOPS) 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) or TI AM68A (8 TOPS) 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 Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) has published image classification results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) | 1391 FPS throughput · b=1 | mobilenet-v1-1.0-224 not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mobile-class CNN | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
TI AM68A (8 TOPS):
No published image classification results for TI AM68A (8 TOPS) or Terasic DE10-Agilex Development Board (Agilex 7, 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
Only Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) has published semantic segmentation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) | 10.26 FPS throughput · b=1 | unet-camvid-onnx-0001 not stated in table (set by .arch file) · FPGA AI Suite 2026.1.1 / OpenVINO; IP throughput (hostless) · mid-size CNN | D | unknown power n/a no power published | Altera FPGA AI Suite Handbook (performance tables) 2026-08-10 (published) |
TI AM68A (8 TOPS):
No published semantic segmentation results for TI AM68A (8 TOPS) or Terasic DE10-Agilex Development Board (Agilex 7, 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.
speech-to-text
No published speech-to-text results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) or TI AM68A (8 TOPS) yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
LLM generation
No published LLM generation results for Terasic DE10-Agilex Development Board (Agilex 7, FPGA AI Suite) or TI AM68A (8 TOPS) 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.