TECNO TECNO KL4 vs TECNO TECNO KL4
| TECNO TECNO KL4 | TECNO TECNO KL4 | Difference | |
|---|---|---|---|
| Single Precision | 225 | 225 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Half Precision | 224 | 224 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Quantized | 293 | 293 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
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) | 95 | 95 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Classification (HP) | 95 | 95 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Classification (Q) | 198 | 198 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (SP) | 124 | 124 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (HP) | 123 | 123 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (Q) | 248 | 248 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (SP) | 495 | 495 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (HP) | 485 | 485 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (Q) | 375 | 375 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (SP) | 95 | 95 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (HP) | 96 | 96 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (Q) | 192 | 192 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (SP) | 325 | 325 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (HP) | 326 | 326 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (Q) | 549 | 549 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (SP) | 425 | 425 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (HP) | 416 | 416 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (Q) | 428 | 428 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (SP) | 809 | 809 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (HP) | 813 | 813 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (Q) | 971 | 971 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (SP) | 223 | 223 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (HP) | 229 | 229 | 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) | 115 | 115 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (HP) | 114 | 114 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (Q) | 185 | 185 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (SP) | 211 | 211 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (HP) | 211 | 211 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (Q) | 136 | 136 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
