motorola motorola edge 50 vs motorola motorola edge 50

	motorola motorola edge 50	motorola motorola edge 50	Difference
Single Precision	876	876	100.0%
motorola motorola edge 50
motorola motorola edge 50
Half Precision	882	882	100.0%
motorola motorola edge 50
motorola motorola edge 50
Quantized	2316	2316	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	11.03 GB	11.03 GB

AI Performance

	motorola motorola edge 50	motorola motorola edge 50	Difference
Image Classification (SP)	421	421	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Classification (HP)	459	459	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Classification (Q)	1627	1627	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Segmentation (SP)	521	521	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Segmentation (HP)	518	518	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Segmentation (Q)	1862	1862	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (SP)	1954	1954	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (HP)	1818	1818	100.0%
motorola motorola edge 50
motorola motorola edge 50
Pose Estimation (Q)	4992	4992	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (SP)	441	441	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (HP)	440	440	100.0%
motorola motorola edge 50
motorola motorola edge 50
Object Detection (Q)	1615	1615	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (SP)	1099	1099	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (HP)	1095	1095	100.0%
motorola motorola edge 50
motorola motorola edge 50
Face Detection (Q)	3704	3704	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (SP)	1571	1571	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (HP)	1575	1575	100.0%
motorola motorola edge 50
motorola motorola edge 50
Depth Estimation (Q)	4131	4131	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (SP)	3383	3383	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (HP)	3382	3382	100.0%
motorola motorola edge 50
motorola motorola edge 50
Style Transfer (Q)	10761	10761	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (SP)	884	884	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (HP)	888	888	100.0%
motorola motorola edge 50
motorola motorola edge 50
Image Super-Resolution (Q)	2630	2630	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (SP)	460	460	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (HP)	479	479	100.0%
motorola motorola edge 50
motorola motorola edge 50
Text Classification (Q)	952	952	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (SP)	593	593	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (HP)	609	609	100.0%
motorola motorola edge 50
motorola motorola edge 50
Machine Translation (Q)	441	441	100.0%
motorola motorola edge 50
motorola motorola edge 50

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