TECNO TECNO CL8 vs TECNO TECNO CL8
| TECNO TECNO CL8 | TECNO TECNO CL8 | Difference | |
|---|---|---|---|
| Single Precision | 1014 | 1014 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Half Precision | 1033 | 1033 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Quantized | 1938 | 1938 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| TECNO TECNO CL8 | TECNO TECNO CL8 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | ARM ARMv8 | ARM ARMv8 |
| Operating System | Android 15 | Android 15 |
| Model | TECNO TECNO CL8 | TECNO TECNO CL8 |
| Processor |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.00 GHz
1 Processor, 8 Cores |
| Processor ID | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Motherboard | TECNO-CL8 | TECNO-CL8 |
| Memory | 11.19 GB | 11.19 GB |
AI Performance
| TECNO TECNO CL8 | TECNO TECNO CL8 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 525 | 525 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Classification (HP) | 538 | 538 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Classification (Q) | 1537 | 1537 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Segmentation (SP) | 715 | 715 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Segmentation (HP) | 712 | 712 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Segmentation (Q) | 1795 | 1795 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Pose Estimation (SP) | 1725 | 1725 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Pose Estimation (HP) | 1718 | 1718 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Pose Estimation (Q) | 3477 | 3477 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Object Detection (SP) | 453 | 453 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Object Detection (HP) | 467 | 467 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Object Detection (Q) | 1235 | 1235 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Face Detection (SP) | 1447 | 1447 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Face Detection (HP) | 1451 | 1451 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Face Detection (Q) | 2989 | 2989 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Depth Estimation (SP) | 1708 | 1708 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Depth Estimation (HP) | 1905 | 1905 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Depth Estimation (Q) | 3125 | 3125 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Style Transfer (SP) | 3908 | 3908 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Style Transfer (HP) | 3783 | 3783 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Style Transfer (Q) | 8112 | 8112 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Super-Resolution (SP) | 1005 | 1005 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Super-Resolution (HP) | 1023 | 1023 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Image Super-Resolution (Q) | 1943 | 1943 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Text Classification (SP) | 538 | 538 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Text Classification (HP) | 562 | 562 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Text Classification (Q) | 932 | 932 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Machine Translation (SP) | 757 | 757 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Machine Translation (HP) | 751 | 751 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
| Machine Translation (Q) | 460 | 460 | 100.0% |
| TECNO TECNO CL8 | |||
| TECNO TECNO CL8 | |||
