TECNO TECNO CK8nB | TECNO TECNO CK8nB | Difference | |
---|---|---|---|
Single Precision | 706 | 706 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Half Precision | 696 | 696 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Quantized | 1458 | 1458 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Geekbench AI 1.5.0 | Geekbench AI 1.5.0 |
TECNO TECNO CK8nB | TECNO TECNO CK8nB | |
---|---|---|
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 CK8nB | TECNO TECNO CK8nB |
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 0 | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
Motherboard | TECNO-CK8nB | TECNO-CK8nB |
Memory | 7.32 GB | 7.32 GB |
TECNO TECNO CK8nB | TECNO TECNO CK8nB | Difference | |
---|---|---|---|
Image Classification (SP) | 376 | 376 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Classification (HP) | 348 | 348 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Classification (Q) | 1065 | 1065 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Segmentation (SP) | 411 | 411 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Segmentation (HP) | 400 | 400 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Segmentation (Q) | 1143 | 1143 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Pose Estimation (SP) | 1488 | 1488 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Pose Estimation (HP) | 1472 | 1472 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Pose Estimation (Q) | 2728 | 2728 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Object Detection (SP) | 291 | 291 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Object Detection (HP) | 306 | 306 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Object Detection (Q) | 997 | 997 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Face Detection (SP) | 1007 | 1007 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Face Detection (HP) | 992 | 992 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Face Detection (Q) | 2432 | 2432 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Depth Estimation (SP) | 1132 | 1132 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Depth Estimation (HP) | 1160 | 1160 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Depth Estimation (Q) | 2463 | 2463 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Style Transfer (SP) | 2789 | 2789 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Style Transfer (HP) | 2932 | 2932 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Style Transfer (Q) | 6397 | 6397 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Super-Resolution (SP) | 710 | 710 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Super-Resolution (HP) | 664 | 664 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Image Super-Resolution (Q) | 1512 | 1512 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Text Classification (SP) | 364 | 364 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Text Classification (HP) | 362 | 362 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Text Classification (Q) | 674 | 674 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Machine Translation (SP) | 561 | 561 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Machine Translation (HP) | 529 | 529 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB | |||
Machine Translation (Q) | 336 | 336 | 100.0% |
TECNO TECNO CK8nB | |||
TECNO TECNO CK8nB |