motorola motorola edge 70 vs motorola motorola edge 70

	motorola motorola edge 70	motorola motorola edge 70	Difference
Single Precision	1000	1000	100.0%
motorola motorola edge 70
motorola motorola edge 70
Half Precision	1700	1700	100.0%
motorola motorola edge 70
motorola motorola edge 70
Quantized	1315	1315	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	GPU	GPU
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)	761	761	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)	1037	1037	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (SP)	1205	1205	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (HP)	1967	1967	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Segmentation (Q)	1967	1967	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (SP)	4508	4508	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (HP)	8401	8401	100.0%
motorola motorola edge 70
motorola motorola edge 70
Pose Estimation (Q)	8113	8113	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (SP)	525	525	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (HP)	953	953	100.0%
motorola motorola edge 70
motorola motorola edge 70
Object Detection (Q)	1081	1081	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (SP)	1680	1680	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (HP)	2991	2991	100.0%
motorola motorola edge 70
motorola motorola edge 70
Face Detection (Q)	2420	2420	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (SP)	2598	2598	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (HP)	4703	4703	100.0%
motorola motorola edge 70
motorola motorola edge 70
Depth Estimation (Q)	3543	3543	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (SP)	5257	5257	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (HP)	10413	10413	100.0%
motorola motorola edge 70
motorola motorola edge 70
Style Transfer (Q)	10188	10188	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (SP)	1001	1001	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (HP)	1864	1864	100.0%
motorola motorola edge 70
motorola motorola edge 70
Image Super-Resolution (Q)	1674	1674	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (SP)	38	38	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (HP)	60	60	100.0%
motorola motorola edge 70
motorola motorola edge 70
Text Classification (Q)	43	43	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (SP)	529	529	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (HP)	679	679	100.0%
motorola motorola edge 70
motorola motorola edge 70
Machine Translation (Q)	138	138	100.0%
motorola motorola edge 70
motorola motorola edge 70

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