TECNO TECNO CK6n vs TECNO TECNO CK6n
| TECNO TECNO CK6n | TECNO TECNO CK6n | Difference | |
|---|---|---|---|
| Single Precision | 349 | 349 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Half Precision | 354 | 354 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Quantized | 625 | 625 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| TECNO TECNO CK6n | TECNO TECNO CK6n | |
|---|---|---|
| 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 CK6n | TECNO TECNO CK6n |
| Processor |
ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 1.80 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-CK6n | TECNO-CK6n |
| Memory | 7.52 GB | 7.52 GB |
AI Performance
| TECNO TECNO CK6n | TECNO TECNO CK6n | Difference | |
|---|---|---|---|
| Image Classification (SP) | 182 | 182 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Classification (HP) | 185 | 185 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Classification (Q) | 497 | 497 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Segmentation (SP) | 215 | 215 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Segmentation (HP) | 208 | 208 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Segmentation (Q) | 639 | 639 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Pose Estimation (SP) | 832 | 832 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Pose Estimation (HP) | 835 | 835 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Pose Estimation (Q) | 1456 | 1456 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Object Detection (SP) | 194 | 194 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Object Detection (HP) | 192 | 192 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Object Detection (Q) | 492 | 492 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Face Detection (SP) | 449 | 449 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Face Detection (HP) | 443 | 443 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Face Detection (Q) | 1129 | 1129 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Depth Estimation (SP) | 414 | 414 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Depth Estimation (HP) | 545 | 545 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Depth Estimation (Q) | 1275 | 1275 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Style Transfer (SP) | 1698 | 1698 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Style Transfer (HP) | 1541 | 1541 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Style Transfer (Q) | 2200 | 2200 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Super-Resolution (SP) | 273 | 273 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Super-Resolution (HP) | 285 | 285 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Image Super-Resolution (Q) | 697 | 697 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Text Classification (SP) | 185 | 185 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Text Classification (HP) | 176 | 176 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Text Classification (Q) | 170 | 170 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Machine Translation (SP) | 267 | 267 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Machine Translation (HP) | 275 | 275 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
| Machine Translation (Q) | 108 | 108 | 100.0% |
| TECNO TECNO CK6n | |||
| TECNO TECNO CK6n | |||
