NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) vs TI AM68A (8 TOPS)
No like-for-like comparison yet: both have published results, but model size or batch differ. Treat the numbers below as indicative only.
| NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) | TI AM68A (8 TOPS) | |
|---|---|---|
| Best speech-to-text | 53267 FPS A 2026-09-16 (published) | n/a |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | $174.197 list |
| Workloads with data | 1 of 7 | 1 of 7 |
Best published speech-to-text result per platform. n/a = not published; never estimated.
Show data — all workloads, sources and like-for-like groups
object detection
Only TI AM68A (8 TOPS) has published object detection results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| 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) |
NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB):
No published object detection results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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.
instance segmentation
No published instance segmentation results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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 NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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
No published image classification results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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.
semantic segmentation
No published semantic segmentation results for NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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.
speech-to-text
Only NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) | 53267 FPS throughput_offline · b=unknown | MLPerf whisper fp16 · TensorRT 10.14, CUDA 13.1 · unknown | A | unknown power n/a no power published | MLPerf Inference v6.1, closed division, data-centre suite 2026-09-16 (published) |
TI AM68A (8 TOPS):
No published speech-to-text results for TI AM68A (8 TOPS) or NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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 NVIDIA DGX B300 (8x NVIDIA B300-SXM-270GB) 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.