TB WTR R1 N100 6/15 vs TB WTR R1 N100 6/15
| TB WTR R1 N100 6/15 | TB WTR R1 N100 6/15 | Difference | |
|---|---|---|---|
| Single Precision | 353 | 353 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Half Precision | 311 | 311 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Quantized | 260 | 260 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| TB WTR R1 N100 6/15 | TB WTR R1 N100 6/15 | |
|---|---|---|
| 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 6/15 | TB WTR R1 N100 6/15 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 404 | 404 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Classification (HP) | 406 | 406 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Classification (Q) | 278 | 278 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Segmentation (SP) | 490 | 490 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Segmentation (HP) | 491 | 491 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Segmentation (Q) | 332 | 332 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Pose Estimation (SP) | 678 | 678 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Pose Estimation (HP) | 239 | 239 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Pose Estimation (Q) | 291 | 291 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Object Detection (SP) | 174 | 174 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Object Detection (HP) | 167 | 167 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Object Detection (Q) | 149 | 149 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Face Detection (SP) | 366 | 366 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Face Detection (HP) | 337 | 337 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Face Detection (Q) | 357 | 357 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Depth Estimation (SP) | 283 | 283 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Depth Estimation (HP) | 281 | 281 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Depth Estimation (Q) | 280 | 280 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Style Transfer (SP) | 420 | 420 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Style Transfer (HP) | 433 | 433 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Style Transfer (Q) | 669 | 669 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Super-Resolution (SP) | 162 | 162 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Super-Resolution (HP) | 153 | 153 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Image Super-Resolution (Q) | 187 | 187 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Text Classification (SP) | 534 | 534 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Text Classification (HP) | 519 | 519 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Text Classification (Q) | 214 | 214 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Machine Translation (SP) | 343 | 343 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Machine Translation (HP) | 333 | 333 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
| Machine Translation (Q) | 132 | 132 | 100.0% |
| TB WTR R1 N100 6/15 | |||
| TB WTR R1 N100 6/15 | |||
