alps k65v1_64_bsp | alps k65v1_64_bsp | Difference | |
---|---|---|---|
Single Precision | 37 | 37 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Half Precision | 51 | 51 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Quantized | 49 | 49 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Geekbench AI 1.2.0 | Geekbench AI 1.2.0 |
alps k65v1_64_bsp | alps k65v1_64_bsp | |
---|---|---|
AI Framework | TensorFlow Lite | TensorFlow Lite |
AI Backend | GPU | GPU |
AI Device | ARM ARMv8 | ARM ARMv8 |
Operating System | Android 15 | Android 15 |
Model | alps k65v1_64_bsp | alps k65v1_64_bsp |
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 | k65v1_64_bsp |
Memory | 2.76 GB | 2.76 GB |
alps k65v1_64_bsp | alps k65v1_64_bsp | Difference | |
---|---|---|---|
Image Classification (SP) | 24 | 24 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Classification (HP) | 36 | 36 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Classification (Q) | 34 | 34 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Segmentation (SP) | 38 | 38 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Segmentation (HP) | 47 | 47 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Segmentation (Q) | 46 | 46 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Pose Estimation (SP) | 30 | 30 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Pose Estimation (HP) | 51 | 51 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Pose Estimation (Q) | 48 | 48 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Object Detection (SP) | 18 | 18 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Object Detection (HP) | 25 | 25 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Object Detection (Q) | 24 | 24 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Face Detection (SP) | 73 | 73 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Face Detection (HP) | 97 | 97 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Face Detection (Q) | 92 | 92 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Depth Estimation (SP) | 47 | 47 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Depth Estimation (HP) | 74 | 74 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Depth Estimation (Q) | 59 | 59 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Style Transfer (SP) | 95 | 95 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Style Transfer (HP) | 160 | 160 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Style Transfer (Q) | 152 | 152 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Super-Resolution (SP) | 21 | 21 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Super-Resolution (HP) | 35 | 35 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Image Super-Resolution (Q) | 32 | 32 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Text Classification (SP) | 30 | 30 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Text Classification (HP) | 29 | 29 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Text Classification (Q) | 47 | 47 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Machine Translation (SP) | 49 | 49 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Machine Translation (HP) | 48 | 48 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp | |||
Machine Translation (Q) | 42 | 42 | 100.0% |
alps k65v1_64_bsp | |||
alps k65v1_64_bsp |