Intel Xeon Platinum 6972P vs NVIDIA Jetson Orin NX 16GB

Intel Xeon Platinum 6972P is faster in all 2 like-for-like comparisons (largest gap: object detection, 14.57×).
| Intel Xeon Platinum 6972P | NVIDIA Jetson Orin NX 16GB | |
|---|---|---|
| Best object detection | 5703 FPS D 2026-10-01 (published) | 287 FPS B 2026-10-13 (page last edited) |
| Power | n/a | n/a |
| Perf / W | n/a | n/a |
| Price | n/a | n/a |
| Workloads with data | 2 of 7 | 4 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 |
|---|---|---|---|---|---|
| Intel Xeon Platinum 6972P CPU-only | 969 FPS throughput (OpenVINO benchmark_app) · b=unknown | ssd-resnet34-1200 INT8 · OpenVINO 2026.4.1 · mid-size CNN | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
| NVIDIA Jetson Orin NX 16GB | 66.50 FPS throughput_offline · b=unknown | MLPerf Retinanet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN | D | unknown power n/a no power published | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023) |
instance segmentation
No published instance segmentation results for Intel Xeon Platinum 6972P or NVIDIA Jetson Orin NX 16GB 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 Intel Xeon Platinum 6972P or NVIDIA Jetson Orin NX 16GB yet.
We only show cited public figures — nothing is estimated to fill gaps. Requests tell us what to source or test next.
image classification
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| Intel Xeon Platinum 6972P CPU-only | 28295 FPS throughput (OpenVINO benchmark_app) · b=unknown | resnet-50 INT8 · OpenVINO 2026.4.1 · mid-size CNN | D | unknown power n/a no power published | OpenVINO official performance benchmarks (graph-data-ov.json) 2026-10-01 (published) |
| NVIDIA Jetson Orin NX 16GB | 2641 FPS throughput_offline · b=unknown | MLPerf ResNet INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · mid-size CNN | D | unknown power n/a no power published | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023) |
semantic segmentation
No published semantic segmentation results for Intel Xeon Platinum 6972P or NVIDIA Jetson Orin NX 16GB 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 Jetson Orin NX 16GB has published speech-to-text results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin NX 16GB | 432 FPS throughput_offline · b=unknown | MLPerf RNN-T INT8/FP16 (MLPerf closed) · TensorRT (MLPerf Inference, older round) · RNN-T | D | unknown power n/a no power published | NVIDIA Jetson Benchmarks (MLPerf v3.1 results table) Older data (2023) |
Intel Xeon Platinum 6972P:
No published speech-to-text results for Intel Xeon Platinum 6972P or NVIDIA Jetson Orin NX 16GB 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 NVIDIA Jetson Orin NX 16GB has published LLM generation results.
| Platform | Result | Model · precision · stack | Grade | Power | Source |
|---|---|---|---|---|---|
| NVIDIA Jetson Orin NX 16GB | 11.00 tok/s generation_throughput · b=1 | Nemotron Nano 9B V2 W4A16 · vLLM · LLM 5–14B | C | unknown power n/a no power published | NVIDIA Jetson AI Lab benchmarks (benchmarks.json) 2026-07-21 (page last edited) |
Intel Xeon Platinum 6972P:
No published LLM generation results for Intel Xeon Platinum 6972P or NVIDIA Jetson Orin NX 16GB 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.