incar M10_R02 | incar M10_R02 | Difference | |
---|---|---|---|
Single Precision | 134 | 134 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Half Precision | 131 | 131 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Quantized | 158 | 158 | 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) | 62 | 62 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Classification (HP) | 65 | 65 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Classification (Q) | 107 | 107 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Segmentation (SP) | 90 | 90 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Segmentation (HP) | 84 | 84 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Segmentation (Q) | 152 | 152 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Pose Estimation (SP) | 318 | 318 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Pose Estimation (HP) | 309 | 309 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Pose Estimation (Q) | 241 | 241 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Object Detection (SP) | 68 | 68 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Object Detection (HP) | 69 | 69 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Object Detection (Q) | 104 | 104 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Face Detection (SP) | 156 | 156 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Face Detection (HP) | 156 | 156 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Face Detection (Q) | 273 | 273 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Depth Estimation (SP) | 214 | 214 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Depth Estimation (HP) | 196 | 196 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Depth Estimation (Q) | 235 | 235 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Style Transfer (SP) | 579 | 579 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Style Transfer (HP) | 584 | 584 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Style Transfer (Q) | 589 | 589 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Super-Resolution (SP) | 110 | 110 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Super-Resolution (HP) | 107 | 107 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Image Super-Resolution (Q) | 140 | 140 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Text Classification (SP) | 68 | 68 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Text Classification (HP) | 66 | 66 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Text Classification (Q) | 83 | 83 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Machine Translation (SP) | 107 | 107 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Machine Translation (HP) | 107 | 107 | 100.0% |
incar M10_R02 | |||
incar M10_R02 | |||
Machine Translation (Q) | 56 | 56 | 100.0% |
incar M10_R02 | |||
incar M10_R02 |