incar M10_R02 | incar M10_R02 | Difference | |
---|---|---|---|
Single Precision | 126 | 126 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Half Precision | 123 | 123 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Quantized | 149 | 149 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Geekbench AI 1.1.0 | Geekbench AI 1.1.0 |
incar M10_R02 | incar M10_R02 | |
---|---|---|
AI Framework | TensorFlow Lite | TensorFlow Lite |
AI Backend | CPU | CPU |
AI Device | ARM ARMv8 | ARM ARMv8 |
Operating System | Android 14 | Android 14 |
Model | incar M10_R02 | incar M10_R02 |
Processor |
ARM ARMv8 @ 2.02 GHz
1 Processor, 4 Cores |
ARM ARMv8 @ 2.02 GHz
1 Processor, 4 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 | rk30sdk | rk30sdk |
Memory | 2.87 GB | 2.87 GB |
incar M10_R02 | incar M10_R02 | Difference | |
---|---|---|---|
Image Classification (SP) | 61 | 61 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Classification (HP) | 59 | 59 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Classification (Q) | 96 | 96 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Segmentation (SP) | 86 | 86 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Segmentation (HP) | 87 | 87 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Segmentation (Q) | 143 | 143 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Pose Estimation (SP) | 300 | 300 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Pose Estimation (HP) | 294 | 294 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Pose Estimation (Q) | 232 | 232 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Object Detection (SP) | 64 | 64 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Object Detection (HP) | 63 | 63 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Object Detection (Q) | 99 | 99 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Face Detection (SP) | 153 | 153 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Face Detection (HP) | 149 | 149 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Face Detection (Q) | 258 | 258 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Depth Estimation (SP) | 197 | 197 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Depth Estimation (HP) | 182 | 182 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Depth Estimation (Q) | 221 | 221 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Style Transfer (SP) | 528 | 528 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Style Transfer (HP) | 529 | 529 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Style Transfer (Q) | 569 | 569 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Super-Resolution (SP) | 98 | 98 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Super-Resolution (HP) | 99 | 99 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Super-Resolution (Q) | 134 | 134 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Text Classification (SP) | 65 | 65 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Text Classification (HP) | 59 | 59 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Text Classification (Q) | 76 | 76 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Machine Translation (SP) | 99 | 99 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Machine Translation (HP) | 104 | 104 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Machine Translation (Q) | 52 | 52 | 100.0% |
incar M10_R02 | |||
incar M10_R02 |