motorola motorola edge 70 motorola motorola edge 70 Difference
Single Precision 1651 1651 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Half Precision 1635 1635 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Quantized 2716 2716 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) 1297 1297 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) 1810 1810 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Segmentation (SP) 1247 1247 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Segmentation (HP) 1252 1252 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Segmentation (Q) 2107 2107 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Pose Estimation (SP) 2873 2873 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Pose Estimation (HP) 2879 2879 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Pose Estimation (Q) 6956 6956 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Object Detection (SP) 1199 1199 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Object Detection (HP) 1199 1199 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Object Detection (Q) 1878 1878 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Face Detection (SP) 2053 2053 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Face Detection (HP) 2108 2108 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Face Detection (Q) 4472 4472 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Depth Estimation (SP) 2289 2289 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Depth Estimation (HP) 2413 2413 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Depth Estimation (Q) 4442 4442 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Style Transfer (SP) 6944 6944 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Style Transfer (HP) 6872 6872 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Style Transfer (Q) 12357 12357 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Super-Resolution (SP) 1298 1298 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Super-Resolution (HP) 1311 1311 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Image Super-Resolution (Q) 3261 3261 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Text Classification (SP) 591 591 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Text Classification (HP) 560 560 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Text Classification (Q) 902 902 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Machine Translation (SP) 1084 1084 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Machine Translation (HP) 1075 1075 100.0%
motorola motorola edge 70
 
motorola motorola edge 70
 
Machine Translation (Q) 609 609 100.0%
motorola motorola edge 70
 
motorola motorola edge 70