motorola motorola edge 70 vs motorola motorola edge 70

	motorola motorola edge 70	motorola motorola edge 70	Difference
Single Precision	1621	1621	100.0%
motorola motorola edge 70
motorola motorola edge 70
Half Precision	1584	1584	100.0%
motorola motorola edge 70
motorola motorola edge 70
Quantized	2641	2641	100.0%
motorola motorola edge 70
motorola motorola edge 70
	Geekbench AI 1.6.1	Geekbench AI 1.6.1

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	7.15 GB	7.15 GB

AI Performance

	motorola motorola edge 70	motorola motorola edge 70	Difference
Image Classification (SP)	1239	1239	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Classification (HP)	1104	1104	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Classification (Q)	1752	1752	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (SP)	1200	1200	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (HP)	1221	1221	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (Q)	2111	2111	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (SP)	2885	2885	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (HP)	2534	2534	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (Q)	6927	6927	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (SP)	1124	1124	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (HP)	1160	1160	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (Q)	1896	1896	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (SP)	2129	2129	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (HP)	2089	2089	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (Q)	4401	4401	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (SP)	2457	2457	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (HP)	2440	2440	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (Q)	4348	4348	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (SP)	6947	6947	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (HP)	6958	6958	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (Q)	12360	12360	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (SP)	1231	1231	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (HP)	1235	1235	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (Q)	2949	2949	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (SP)	577	577	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (HP)	553	553	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (Q)	862	862	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (SP)	1008	1008	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (HP)	1038	1038	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (Q)	567	567	100.0%
motorola motorola edge 70
motorola motorola edge 70

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