motorola motorola edge 60 vs motorola motorola edge 60

	motorola motorola edge 60	motorola motorola edge 60	Difference
Single Precision	886	886	100.0%
motorola motorola edge 60
motorola motorola edge 60
Half Precision	901	901	100.0%
motorola motorola edge 60
motorola motorola edge 60
Quantized	2039	2039	100.0%
motorola motorola edge 60
motorola motorola edge 60
	Geekbench AI 1.5.0	Geekbench AI 1.5.0

System Information

	motorola motorola edge 60	motorola motorola edge 60
AI Framework	TensorFlow Lite	TensorFlow Lite
AI Backend	CPU	CPU
AI Device	ARM ARMv8	ARM ARMv8
Operating System	Android 15	Android 15
Model	motorola motorola edge 60	motorola motorola edge 60
Processor	ARM ARMv8 @ 2.00 GHz 1 Processor, 8 Cores	ARM ARMv8 @ 2.00 GHz 1 Processor, 8 Cores
Processor ID	ARM implementer 65 architecture 8 variant 1 part 3393 revision 0	ARM implementer 65 architecture 8 variant 1 part 3393 revision 0
Motherboard	scout	scout
Memory	11.16 GB	11.16 GB

AI Performance

	motorola motorola edge 60	motorola motorola edge 60	Difference
Image Classification (SP)	460	460	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Classification (HP)	430	430	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Classification (Q)	1449	1449	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Segmentation (SP)	535	535	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Segmentation (HP)	473	473	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Segmentation (Q)	1716	1716	100.0%
motorola motorola edge 60
motorola motorola edge 60
Pose Estimation (SP)	2013	2013	100.0%
motorola motorola edge 60
motorola motorola edge 60
Pose Estimation (HP)	2015	2015	100.0%
motorola motorola edge 60
motorola motorola edge 60
Pose Estimation (Q)	3842	3842	100.0%
motorola motorola edge 60
motorola motorola edge 60
Object Detection (SP)	458	458	100.0%
motorola motorola edge 60
motorola motorola edge 60
Object Detection (HP)	459	459	100.0%
motorola motorola edge 60
motorola motorola edge 60
Object Detection (Q)	1416	1416	100.0%
motorola motorola edge 60
motorola motorola edge 60
Face Detection (SP)	1058	1058	100.0%
motorola motorola edge 60
motorola motorola edge 60
Face Detection (HP)	1066	1066	100.0%
motorola motorola edge 60
motorola motorola edge 60
Face Detection (Q)	3420	3420	100.0%
motorola motorola edge 60
motorola motorola edge 60
Depth Estimation (SP)	1516	1516	100.0%
motorola motorola edge 60
motorola motorola edge 60
Depth Estimation (HP)	1525	1525	100.0%
motorola motorola edge 60
motorola motorola edge 60
Depth Estimation (Q)	3511	3511	100.0%
motorola motorola edge 60
motorola motorola edge 60
Style Transfer (SP)	3647	3647	100.0%
motorola motorola edge 60
motorola motorola edge 60
Style Transfer (HP)	3657	3657	100.0%
motorola motorola edge 60
motorola motorola edge 60
Style Transfer (Q)	8677	8677	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Super-Resolution (SP)	835	835	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Super-Resolution (HP)	830	830	100.0%
motorola motorola edge 60
motorola motorola edge 60
Image Super-Resolution (Q)	1957	1957	100.0%
motorola motorola edge 60
motorola motorola edge 60
Text Classification (SP)	357	357	100.0%
motorola motorola edge 60
motorola motorola edge 60
Text Classification (HP)	510	510	100.0%
motorola motorola edge 60
motorola motorola edge 60
Text Classification (Q)	953	953	100.0%
motorola motorola edge 60
motorola motorola edge 60
Machine Translation (SP)	760	760	100.0%
motorola motorola edge 60
motorola motorola edge 60
Machine Translation (HP)	749	749	100.0%
motorola motorola edge 60
motorola motorola edge 60
Machine Translation (Q)	473	473	100.0%
motorola motorola edge 60
motorola motorola edge 60

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