TECNO TECNO KL4 vs TECNO TECNO KL4
| TECNO TECNO KL4 | TECNO TECNO KL4 | Difference | |
|---|---|---|---|
| Single Precision | 227 | 227 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Half Precision | 228 | 228 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Quantized | 295 | 295 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| TECNO TECNO KL4 | TECNO TECNO KL4 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 14 | Android 14 |
| Model | TECNO TECNO KL4 | TECNO TECNO KL4 |
| Processor |
ARM ARMv8 @ 1.61 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.61 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Motherboard | TECNO-KL4 | TECNO-KL4 |
| Memory | 2.72 GB | 2.72 GB |
AI Performance
| TECNO TECNO KL4 | TECNO TECNO KL4 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 96 | 96 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Classification (HP) | 96 | 96 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Classification (Q) | 199 | 199 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (SP) | 125 | 125 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (HP) | 126 | 126 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (Q) | 249 | 249 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (SP) | 506 | 506 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (HP) | 505 | 505 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (Q) | 382 | 382 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (SP) | 97 | 97 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (HP) | 96 | 96 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (Q) | 193 | 193 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (SP) | 330 | 330 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (HP) | 336 | 336 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (Q) | 552 | 552 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (SP) | 406 | 406 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (HP) | 441 | 441 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (Q) | 430 | 430 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (SP) | 829 | 829 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (HP) | 810 | 810 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (Q) | 983 | 983 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (SP) | 228 | 228 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (HP) | 222 | 222 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (Q) | 237 | 237 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (SP) | 118 | 118 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (HP) | 116 | 116 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (Q) | 185 | 185 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (SP) | 214 | 214 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (HP) | 213 | 213 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (Q) | 137 | 137 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
