TECNO TECNO KL4 vs TECNO TECNO KL4
| TECNO TECNO KL4 | TECNO TECNO KL4 | Difference | |
|---|---|---|---|
| Single Precision | 67 | 67 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Half Precision | 93 | 93 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Quantized | 91 | 91 | 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 | GPU | GPU |
| 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) | 43 | 43 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Classification (HP) | 79 | 79 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Classification (Q) | 77 | 77 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (SP) | 63 | 63 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (HP) | 110 | 110 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (Q) | 108 | 108 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (SP) | 41 | 41 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (HP) | 49 | 49 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Pose Estimation (Q) | 48 | 48 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (SP) | 36 | 36 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (HP) | 62 | 62 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (Q) | 61 | 61 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (SP) | 138 | 138 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (HP) | 210 | 210 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (Q) | 200 | 200 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (SP) | 78 | 78 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (HP) | 102 | 102 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (Q) | 82 | 82 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (SP) | 154 | 154 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (HP) | 214 | 214 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (Q) | 213 | 213 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (SP) | 40 | 40 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (HP) | 61 | 61 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (Q) | 61 | 61 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (SP) | 63 | 63 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (HP) | 63 | 63 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (Q) | 96 | 96 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (SP) | 112 | 112 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (HP) | 111 | 111 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (Q) | 87 | 87 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
