samsung SM-G715FN vs samsung SM-G715FN
| samsung SM-G715FN | samsung SM-G715FN | Difference | |
|---|---|---|---|
| Single Precision | 58 | 58 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Half Precision | 58 | 58 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Quantized | 87 | 87 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| samsung SM-G715FN | samsung SM-G715FN | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | NNAPI | NNAPI |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 13 | Android 13 |
| Model | samsung SM-G715FN | samsung SM-G715FN |
| Processor |
ARM ARMv8 @ 1.74 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.74 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Motherboard | exynos9611 | exynos9611 |
| Memory | 3.49 GB | 3.49 GB |
AI Performance
| samsung SM-G715FN | samsung SM-G715FN | Difference | |
|---|---|---|---|
| Image Classification (SP) | 33 | 33 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Classification (HP) | 33 | 33 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Classification (Q) | 56 | 56 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Segmentation (SP) | 45 | 45 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Segmentation (HP) | 45 | 45 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Segmentation (Q) | 62 | 62 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Pose Estimation (SP) | 63 | 63 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Pose Estimation (HP) | 63 | 63 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Pose Estimation (Q) | 121 | 121 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Object Detection (SP) | 34 | 34 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Object Detection (HP) | 34 | 34 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Object Detection (Q) | 58 | 58 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Face Detection (SP) | 87 | 87 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Face Detection (HP) | 88 | 88 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Face Detection (Q) | 133 | 133 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Depth Estimation (SP) | 76 | 76 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Depth Estimation (HP) | 77 | 77 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Depth Estimation (Q) | 113 | 113 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Style Transfer (SP) | 140 | 140 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Style Transfer (HP) | 141 | 141 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Style Transfer (Q) | 273 | 273 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Super-Resolution (SP) | 38 | 38 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Super-Resolution (HP) | 39 | 39 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Image Super-Resolution (Q) | 71 | 71 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Text Classification (SP) | 48 | 48 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Text Classification (HP) | 48 | 48 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Text Classification (Q) | 61 | 61 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Machine Translation (SP) | 84 | 84 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Machine Translation (HP) | 85 | 85 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
| Machine Translation (Q) | 63 | 63 | 100.0% |
| samsung SM-G715FN | |||
| samsung SM-G715FN | |||
