motorola motorola edge 50 vs motorola motorola edge 50

	motorola motorola edge 50	motorola motorola edge 50	Difference
Single Precision	873	873	100.0%
motorola motorola edge 50
motorola motorola edge 50
Half Precision	876	876	100.0%
motorola motorola edge 50
motorola motorola edge 50
Quantized	2312	2312	100.0%
motorola motorola edge 50
motorola motorola edge 50
	Geekbench AI 1.2.0	Geekbench AI 1.2.0

System Information

	motorola motorola edge 50	motorola motorola edge 50
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 50	motorola motorola edge 50
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 2 part 3399 revision 0	ARM implementer 65 architecture 8 variant 2 part 3399 revision 0
Motherboard	tank	tank
Memory	7.14 GB	7.14 GB

AI Performance

	motorola motorola edge 50	motorola motorola edge 50	Difference
Image Classification (SP)	426	426	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Classification (HP)	454	454	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Classification (Q)	1626	1626	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Segmentation (SP)	455	455	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Segmentation (HP)	501	501	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Segmentation (Q)	1843	1843	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (SP)	1945	1945	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (HP)	1912	1912	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (Q)	4891	4891	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (SP)	428	428	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (HP)	393	393	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (Q)	1614	1614	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (SP)	1090	1090	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (HP)	1093	1093	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (Q)	3666	3666	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (SP)	1531	1531	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (HP)	1501	1501	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (Q)	4093	4093	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (SP)	3336	3336	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (HP)	3370	3370	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (Q)	10663	10663	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (SP)	871	871	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (HP)	875	875	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (Q)	2618	2618	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (SP)	481	481	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (HP)	475	475	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (Q)	958	958	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (SP)	691	691	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (HP)	682	682	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (Q)	460	460	100.0%
motorola motorola edge 50
motorola motorola edge 50

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