motorola motorola edge 70 vs motorola motorola edge 70

	motorola motorola edge 70	motorola motorola edge 70	Difference
Single Precision	1669	1669	100.0%
motorola motorola edge 70
motorola motorola edge 70
Half Precision	1663	1663	100.0%
motorola motorola edge 70
motorola motorola edge 70
Quantized	2709	2709	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)	1279	1279	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Classification (HP)	1132	1132	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Classification (Q)	1865	1865	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (SP)	1258	1258	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (HP)	1255	1255	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)	2872	2872	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (HP)	2888	2888	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (Q)	6987	6987	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (SP)	1210	1210	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (HP)	1216	1216	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (Q)	1860	1860	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (SP)	2087	2087	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (HP)	2124	2124	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (Q)	4444	4444	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (SP)	2507	2507	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (HP)	2573	2573	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (Q)	4476	4476	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (SP)	6964	6964	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (HP)	6965	6965	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (Q)	12335	12335	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (SP)	1345	1345	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (HP)	1355	1355	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (Q)	3035	3035	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)	579	579	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (Q)	962	962	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (SP)	1065	1065	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (HP)	1086	1086	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (Q)	583	583	100.0%
motorola motorola edge 70
motorola motorola edge 70

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