TECNO TECNO KL4 vs TECNO TECNO KL4
| TECNO TECNO KL4 | TECNO TECNO KL4 | Difference | |
|---|---|---|---|
| Single Precision | 230 | 230 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Half Precision | 230 | 230 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Quantized | 296 | 296 | 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) | 201 | 201 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (SP) | 125 | 125 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Segmentation (HP) | 125 | 125 | 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) | 504 | 504 | 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) | 97 | 97 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Object Detection (Q) | 193 | 193 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (SP) | 332 | 332 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (HP) | 332 | 332 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Face Detection (Q) | 554 | 554 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (SP) | 439 | 439 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (HP) | 445 | 445 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Depth Estimation (Q) | 431 | 431 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (SP) | 832 | 832 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (HP) | 835 | 835 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Style Transfer (Q) | 982 | 982 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (SP) | 235 | 235 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Image Super-Resolution (HP) | 237 | 237 | 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) | 117 | 117 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (HP) | 117 | 117 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Text Classification (Q) | 187 | 187 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (SP) | 215 | 215 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (HP) | 214 | 214 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
| Machine Translation (Q) | 138 | 138 | 100.0% |
| TECNO TECNO KL4 | |||
| TECNO TECNO KL4 | |||
