motorola motorola edge 70 vs motorola motorola edge 70

	motorola motorola edge 70	motorola motorola edge 70	Difference
Single Precision	229	229	100.0%
motorola motorola edge 70
motorola motorola edge 70
Half Precision	228	228	100.0%
motorola motorola edge 70
motorola motorola edge 70
Quantized	518	518	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	NNAPI	NNAPI
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)	134	134	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Classification (HP)	135	135	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Classification (Q)	345	345	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (SP)	179	179	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (HP)	180	180	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (Q)	369	369	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (SP)	236	236	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (HP)	236	236	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (Q)	901	901	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (SP)	131	131	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (HP)	132	132	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (Q)	374	374	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (SP)	377	377	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (HP)	380	380	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (Q)	782	782	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (SP)	307	307	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (HP)	308	308	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (Q)	730	730	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (SP)	556	556	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (HP)	555	555	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (Q)	1581	1581	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (SP)	148	148	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (HP)	148	148	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (Q)	520	520	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (SP)	176	176	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (HP)	163	163	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (Q)	257	257	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (SP)	325	325	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (HP)	326	326	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (Q)	274	274	100.0%
motorola motorola edge 70
motorola motorola edge 70

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