motorola motorola edge 30 vs motorola motorola edge 30

motorola motorola edge 30 motorola motorola edge 30 Difference
Single Precision 383 383 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Half Precision 312 312 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Quantized 881 881 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Geekbench AI 1.5.0 Geekbench AI 1.5.0

System Information

motorola motorola edge 30 motorola motorola edge 30
AI Framework TensorFlow Lite TensorFlow Lite
AI Backend CPU CPU
AI Device ARM ARMv8 ARM ARMv8
Operating System Android 14 Android 14
Model motorola motorola edge 30 motorola motorola edge 30
Processor ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores 		ARM ARMv8 @ 1.80 GHz
1 Processor, 8 Cores
Processor ID ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 ARM implementer 65 architecture 8 variant 1 part 3393 revision 1
Motherboard dubai dubai
Memory 7.21 GB 7.21 GB

AI Performance

motorola motorola edge 30 motorola motorola edge 30 Difference
Image Classification (SP) 260 260 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Classification (HP) 160 160 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Classification (Q) 777 777 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Segmentation (SP) 170 170 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Segmentation (HP) 164 164 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Segmentation (Q) 490 490 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Pose Estimation (SP) 1276 1276 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Pose Estimation (HP) 627 627 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Pose Estimation (Q) 1092 1092 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Object Detection (SP) 149 149 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Object Detection (HP) 161 161 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Object Detection (Q) 675 675 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Face Detection (SP) 346 346 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Face Detection (HP) 345 345 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Face Detection (Q) 1766 1766 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Depth Estimation (SP) 1018 1018 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Depth Estimation (HP) 484 484 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Depth Estimation (Q) 1620 1620 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Style Transfer (SP) 1127 1127 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Style Transfer (HP) 1129 1129 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Style Transfer (Q) 4471 4471 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Super-Resolution (SP) 282 282 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Super-Resolution (HP) 282 282 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Image Super-Resolution (Q) 616 616 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Text Classification (SP) 203 203 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Text Classification (HP) 183 183 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Text Classification (Q) 440 440 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Machine Translation (SP) 360 360 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Machine Translation (HP) 342 342 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 
Machine Translation (Q) 290 290 100.0%
motorola motorola edge 30
 
motorola motorola edge 30
 

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