motorola motorola edge 30 vs motorola motorola edge 30

	motorola motorola edge 30	motorola motorola edge 30	Difference
Single Precision	859	859	100.0%
motorola motorola edge 30
motorola motorola edge 30
Half Precision	838	838	100.0%
motorola motorola edge 30
motorola motorola edge 30
Quantized	1695	1695	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)	459	459	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Classification (HP)	471	471	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Classification (Q)	1441	1441	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Segmentation (SP)	506	506	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Segmentation (HP)	508	508	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Segmentation (Q)	1687	1687	100.0%
motorola motorola edge 30
motorola motorola edge 30
Pose Estimation (SP)	2024	2024	100.0%
motorola motorola edge 30
motorola motorola edge 30
Pose Estimation (HP)	1991	1991	100.0%
motorola motorola edge 30
motorola motorola edge 30
Pose Estimation (Q)	2973	2973	100.0%
motorola motorola edge 30
motorola motorola edge 30
Object Detection (SP)	443	443	100.0%
motorola motorola edge 30
motorola motorola edge 30
Object Detection (HP)	381	381	100.0%
motorola motorola edge 30
motorola motorola edge 30
Object Detection (Q)	1119	1119	100.0%
motorola motorola edge 30
motorola motorola edge 30
Face Detection (SP)	1038	1038	100.0%
motorola motorola edge 30
motorola motorola edge 30
Face Detection (HP)	1046	1046	100.0%
motorola motorola edge 30
motorola motorola edge 30
Face Detection (Q)	2772	2772	100.0%
motorola motorola edge 30
motorola motorola edge 30
Depth Estimation (SP)	1472	1472	100.0%
motorola motorola edge 30
motorola motorola edge 30
Depth Estimation (HP)	1465	1465	100.0%
motorola motorola edge 30
motorola motorola edge 30
Depth Estimation (Q)	2701	2701	100.0%
motorola motorola edge 30
motorola motorola edge 30
Style Transfer (SP)	3159	3159	100.0%
motorola motorola edge 30
motorola motorola edge 30
Style Transfer (HP)	3158	3158	100.0%
motorola motorola edge 30
motorola motorola edge 30
Style Transfer (Q)	6824	6824	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Super-Resolution (SP)	816	816	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Super-Resolution (HP)	815	815	100.0%
motorola motorola edge 30
motorola motorola edge 30
Image Super-Resolution (Q)	1617	1617	100.0%
motorola motorola edge 30
motorola motorola edge 30
Text Classification (SP)	410	410	100.0%
motorola motorola edge 30
motorola motorola edge 30
Text Classification (HP)	403	403	100.0%
motorola motorola edge 30
motorola motorola edge 30
Text Classification (Q)	756	756	100.0%
motorola motorola edge 30
motorola motorola edge 30
Machine Translation (SP)	655	655	100.0%
motorola motorola edge 30
motorola motorola edge 30
Machine Translation (HP)	597	597	100.0%
motorola motorola edge 30
motorola motorola edge 30
Machine Translation (Q)	388	388	100.0%
motorola motorola edge 30
motorola motorola edge 30

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