NUU S6601L | NUU S6601L | Difference | |
---|---|---|---|
Single Precision | 38 | 38 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Half Precision | 54 | 54 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Quantized | 51 | 51 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Geekbench AI 1.2.0 | Geekbench AI 1.2.0 |
NUU S6601L | NUU S6601L | |
---|---|---|
AI Framework | TensorFlow Lite | TensorFlow Lite |
AI Backend | GPU | GPU |
AI Device | ARM ARMv8 | ARM ARMv8 |
Operating System | Android 14 | Android 14 |
Model | NUU S6601L | NUU S6601L |
Processor |
ARM ARMv8 @ 2.20 GHz
1 Processor, 8 Cores |
ARM ARMv8 @ 2.20 GHz
1 Processor, 8 Cores |
Processor ID | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 | ARM implementer 65 architecture 8 variant 0 part 3331 revision 4 |
Motherboard | k65v1_64_bsp_k510 | k65v1_64_bsp_k510 |
Memory | 2.73 GB | 2.73 GB |
NUU S6601L | NUU S6601L | Difference | |
---|---|---|---|
Image Classification (SP) | 25 | 25 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Classification (HP) | 37 | 37 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Classification (Q) | 36 | 36 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Segmentation (SP) | 39 | 39 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Segmentation (HP) | 48 | 48 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Segmentation (Q) | 47 | 47 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Pose Estimation (SP) | 30 | 30 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Pose Estimation (HP) | 52 | 52 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Pose Estimation (Q) | 48 | 48 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Object Detection (SP) | 18 | 18 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Object Detection (HP) | 26 | 26 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Object Detection (Q) | 25 | 25 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Face Detection (SP) | 75 | 75 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Face Detection (HP) | 100 | 100 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Face Detection (Q) | 94 | 94 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Depth Estimation (SP) | 48 | 48 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Depth Estimation (HP) | 75 | 75 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Depth Estimation (Q) | 59 | 59 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Style Transfer (SP) | 96 | 96 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Style Transfer (HP) | 162 | 162 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Style Transfer (Q) | 152 | 152 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Super-Resolution (SP) | 21 | 21 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Super-Resolution (HP) | 36 | 36 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Image Super-Resolution (Q) | 33 | 33 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Text Classification (SP) | 34 | 34 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Text Classification (HP) | 34 | 34 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Text Classification (Q) | 49 | 49 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Machine Translation (SP) | 60 | 60 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Machine Translation (HP) | 60 | 60 | 100.0% |
NUU S6601L | |||
NUU S6601L | |||
Machine Translation (Q) | 46 | 46 | 100.0% |
NUU S6601L | |||
NUU S6601L |