TB WTR R1 N100 10/15 vs TB WTR R1 N100 10/15
| TB WTR R1 N100 10/15 | TB WTR R1 N100 10/15 | Difference | |
|---|---|---|---|
| Single Precision | 574 | 574 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Half Precision | 567 | 567 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Quantized | 411 | 411 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| TB WTR R1 N100 10/15 | TB WTR R1 N100 10/15 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | Intel N100 | Intel N100 |
| Operating System | Ubuntu 24.04.1 LTS | Ubuntu 24.04.1 LTS |
| Model | TB WTR R1 | TB WTR R1 |
| Processor |
Intel N100 @ 3.40 GHz
1 Processor, 4 Cores |
Intel N100 @ 3.40 GHz
1 Processor, 4 Cores |
| Processor ID | GenuineIntel Family 6 Model 190 Stepping 0 | GenuineIntel Family 6 Model 190 Stepping 0 |
| Motherboard | TB WTR R1 | TB WTR R1 |
| BIOS | American Megatrends International, LLC. HCN100-MI2 | American Megatrends International, LLC. HCN100-MI2 |
| Memory | 15.30 GB | 15.30 GB |
AI Performance
| TB WTR R1 N100 10/15 | TB WTR R1 N100 10/15 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 405 | 405 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Classification (HP) | 404 | 404 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Classification (Q) | 279 | 279 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Segmentation (SP) | 493 | 493 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Segmentation (HP) | 493 | 493 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Segmentation (Q) | 331 | 331 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Pose Estimation (SP) | 536 | 536 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Pose Estimation (HP) | 542 | 542 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Pose Estimation (Q) | 522 | 522 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Object Detection (SP) | 389 | 389 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Object Detection (HP) | 384 | 384 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Object Detection (Q) | 286 | 286 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Face Detection (SP) | 767 | 767 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Face Detection (HP) | 756 | 756 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Face Detection (Q) | 712 | 712 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Depth Estimation (SP) | 649 | 649 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Depth Estimation (HP) | 640 | 640 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Depth Estimation (Q) | 505 | 505 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Style Transfer (SP) | 969 | 969 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Style Transfer (HP) | 978 | 978 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Style Transfer (Q) | 1254 | 1254 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Super-Resolution (SP) | 375 | 375 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Super-Resolution (HP) | 369 | 369 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Image Super-Resolution (Q) | 358 | 358 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Text Classification (SP) | 618 | 618 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Text Classification (HP) | 619 | 619 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Text Classification (Q) | 267 | 267 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Machine Translation (SP) | 848 | 848 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Machine Translation (HP) | 779 | 779 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
| Machine Translation (Q) | 233 | 233 | 100.0% |
| TB WTR R1 N100 10/15 | |||
| TB WTR R1 N100 10/15 | |||
