| framework | Backend | Device | Single | Half | Quant. | Results |
|---|---|---|---|---|---|---|
TensorFlow Lite | CPU | Intel(R) N150 | 601 | 612 | 430 | https://browser.geekbench.com/ai/v1/247221/claim?key=748782 |
ONNX | CPU | Intel(R) N150 | ||||
OpenVINO | CPU | Intel(R) N150 |
| Workload | Accuracy | Score | ||||||
|---|---|---|---|---|---|---|---|---|
| Image Classification (SP) | 100% | 406 75.5 IPS | ||||||
| Image Classification (HP) | 100% | 411 76.5 IPS | ||||||
| Image Classification (Q) | 99% | 275 51.2 IPS | ||||||
| Image Segmentation (SP) | 100% | 517 8.38 IPS | ||||||
| Image Segmentation (HP) | 100% | 515 8.35 IPS | ||||||
| Image Segmentation (Q) | 98% | 332 5.40 IPS | ||||||
| Pose Estimation (SP) | 100% | 632 0.74 IPS | ||||||
| Pose Estimation (HP) | 100% | 649 0.76 IPS | ||||||
| Pose Estimation (Q) | 96% | 611 0.72 IPS | ||||||
| Object Detection (SP) | 100% | 369 29.3 IPS | ||||||
| Object Detection (HP) | 100% | 378 30.0 IPS | ||||||
| Object Detection (Q) | 85% | 286 23.0 IPS | ||||||
| Face Detection (SP) | 100% | 771 9.16 IPS | ||||||
| Face Detection (HP) | 100% | 870 10.3 IPS | ||||||
| Face Detection (Q) | 97% | 719 8.57 IPS | ||||||
| Depth Estimation (SP) | 100% | 724 5.58 IPS | ||||||
| Depth Estimation (HP) | 99% | 747 5.76 IPS | ||||||
| Depth Estimation (Q) | 63% | 549 5.15 IPS | ||||||
| Style Transfer (SP) | 100% | 1256 1.61 IPS | ||||||
| Style Transfer (HP) | 100% | 1264 1.63 IPS | ||||||
| Style Transfer (Q) | 98% | 1454 1.87 IPS | ||||||
| Image Super-Resolution (SP) | 100% | 362 13.4 IPS | ||||||
| Image Super-Resolution (HP) | 100% | 338 12.5 IPS | ||||||
| Image Super-Resolution (Q) | 97% | 357 13.2 IPS | ||||||
| Text Classification (SP) | 100% | 612 816.3 IPS | ||||||
| Text Classification (HP) | 100% | 614 819.4 IPS | ||||||
| Text Classification (Q) | 92% | 266 356.9 IPS | ||||||
| Machine Translation (SP) | 100% | 819 14.1 IPS | ||||||
| Machine Translation (HP) | 100% | 833 14.3 IPS | ||||||
| Machine Translation (Q) | 58% | 253 5.95 IPS |
Install
| Code Block |
|---|
Check Available frameworksOnly CPU backend available
| Code Block |
|---|
root@server5:/storage/apps/Geekbench/GeekbenchAI-1.3.0-Linux# ./banff --ai-list Geekbench AI 1.3.0 : https://www.geekbench.com/ai/ Geekbench AI requires an active internet connection and automatically uploads benchmark results to the Geekbench Browser. Framework | Backend | Device 1 TensorFlow Lite | 1 CPU | 0 Intel(R) N150 3 ONNX | 1 CPU | 0 Intel(R) N150 4 OpenVINO | 1 CPU | 0 Intel(R) N150 |
...