| TB WTR R1 N100 15/25 | TB WTR R1 N100 15/25 | Difference | |
|---|---|---|---|
| Single Precision | 630 | 630 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Half Precision | 628 | 628 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Quantized | 431 | 431 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
| TB WTR R1 N100 15/25 | TB WTR R1 N100 15/25 | |
|---|---|---|
| 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 |
| TB WTR R1 N100 15/25 | TB WTR R1 N100 15/25 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 420 | 420 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Classification (HP) | 419 | 419 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Classification (Q) | 279 | 279 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Segmentation (SP) | 503 | 503 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Segmentation (HP) | 506 | 506 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Segmentation (Q) | 332 | 332 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Pose Estimation (SP) | 712 | 712 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Pose Estimation (HP) | 698 | 698 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Pose Estimation (Q) | 612 | 612 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Object Detection (SP) | 409 | 409 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Object Detection (HP) | 409 | 409 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Object Detection (Q) | 289 | 289 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Face Detection (SP) | 797 | 797 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Face Detection (HP) | 795 | 795 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Face Detection (Q) | 721 | 721 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Depth Estimation (SP) | 763 | 763 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Depth Estimation (HP) | 762 | 762 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Depth Estimation (Q) | 551 | 551 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Style Transfer (SP) | 1142 | 1142 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Style Transfer (HP) | 1142 | 1142 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Style Transfer (Q) | 1438 | 1438 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Super-Resolution (SP) | 425 | 425 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Super-Resolution (HP) | 424 | 424 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Image Super-Resolution (Q) | 359 | 359 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Text Classification (SP) | 618 | 618 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Text Classification (HP) | 618 | 618 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Text Classification (Q) | 267 | 267 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Machine Translation (SP) | 880 | 880 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Machine Translation (HP) | 880 | 880 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||
| Machine Translation (Q) | 248 | 248 | 100.0% |
| TB WTR R1 N100 15/25 | |||
| TB WTR R1 N100 15/25 | |||