motorola motorola edge 50 vs motorola motorola edge 50

	motorola motorola edge 50	motorola motorola edge 50	Difference
Single Precision	795	795	100.0%
motorola motorola edge 50
motorola motorola edge 50
Half Precision	797	797	100.0%
motorola motorola edge 50
motorola motorola edge 50
Quantized	2009	2009	100.0%
motorola motorola edge 50
motorola motorola edge 50
	Geekbench AI 1.1.0	Geekbench AI 1.1.0

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	11.03 GB	11.03 GB

AI Performance

	motorola motorola edge 50	motorola motorola edge 50	Difference
Image Classification (SP)	442	442	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Classification (HP)	406	406	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Classification (Q)	1611	1611	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Segmentation (SP)	451	451	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)	1818	1818	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (SP)	1764	1764	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (HP)	1761	1761	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (Q)	4454	4454	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (SP)	370	370	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (HP)	381	381	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (Q)	1378	1378	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (SP)	1032	1032	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (HP)	1033	1033	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (Q)	3261	3261	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (SP)	1393	1393	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (HP)	1371	1371	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (Q)	3566	3566	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (SP)	3058	3058	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (HP)	3070	3070	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (Q)	9419	9419	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (SP)	786	786	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (HP)	771	771	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (Q)	2083	2083	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (SP)	377	377	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (HP)	381	381	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (Q)	646	646	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (SP)	598	598	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (HP)	596	596	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (Q)	405	405	100.0%
motorola motorola edge 50
motorola motorola edge 50

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