motorola motorola edge 70 motorola motorola edge 70 Difference
Single Precision 1639 1639 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Half Precision 1614 1614 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Quantized 2682 2682 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Geekbench AI 1.5.0 Geekbench AI 1.5.0

System Information

motorola motorola edge 70 motorola motorola edge 70
AI Framework TensorFlow Lite TensorFlow Lite
AI Backend CPU CPU
AI Device ARM ARMv8 ARM ARMv8
Operating System Android 16 Android 16
Model motorola motorola edge 70 motorola motorola edge 70
Processor ARM ARMv8 @ 1.84 GHz
1 Processor, 8 Cores
ARM ARMv8 @ 1.84 GHz
1 Processor, 8 Cores
Processor ID ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 ARM implementer 65 architecture 8 variant 0 part 3457 revision 1
Motherboard roadstr roadstr
Memory 11.04 GB 11.04 GB

AI Performance

motorola motorola edge 70 motorola motorola edge 70 Difference
Image Classification (SP) 1228 1228 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Classification (HP) 1151 1151 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Classification (Q) 1788 1788 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Segmentation (SP) 1235 1235 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Segmentation (HP) 1206 1206 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Segmentation (Q) 2104 2104 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Pose Estimation (SP) 2855 2855 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Pose Estimation (HP) 2867 2867 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Pose Estimation (Q) 6940 6940 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Object Detection (SP) 1141 1141 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Object Detection (HP) 1149 1149 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Object Detection (Q) 1863 1863 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Face Detection (SP) 2105 2105 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Face Detection (HP) 2071 2071 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Face Detection (Q) 4394 4394 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Depth Estimation (SP) 2591 2591 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Depth Estimation (HP) 2528 2528 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Depth Estimation (Q) 4419 4419 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Style Transfer (SP) 6927 6927 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Style Transfer (HP) 6850 6850 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Style Transfer (Q) 12392 12392 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Super-Resolution (SP) 1260 1260 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Super-Resolution (HP) 1293 1293 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Super-Resolution (Q) 3170 3170 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Text Classification (SP) 544 544 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Text Classification (HP) 538 538 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Text Classification (Q) 879 879 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Machine Translation (SP) 1094 1094 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Machine Translation (HP) 1053 1053 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Machine Translation (Q) 592 592 100.0%
motorola motorola edge 70
 
motorola motorola edge 70