motorola motorola edge 40 neo motorola motorola edge 40 neo Difference
Inference Score 279 279 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Geekbench ML 0.6.0 Geekbench ML 0.6.0

System Information

motorola motorola edge 40 neo motorola motorola edge 40 neo
Operating System Android 13 Android 13
Model motorola motorola edge 40 neo motorola motorola edge 40 neo
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
L1 Instruction Cache
L1 Data Cache
L2 Cache
L3 Cache
Motherboard manaus manaus
BIOS
Memory 11.19 GB 11.19 GB

Inference Performance

motorola motorola edge 40 neo motorola motorola edge 40 neo Difference
Inference Score 279 279 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Classification (F32) 144 144 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Classification (F16) 229 229 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Classification (I8) 197 197 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Segmentation (F32) 199 199 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Segmentation (F16) 288 288 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Segmentation (I8) 289 289 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Pose Estimation (F32) 161 161 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Pose Estimation (F16) 255 255 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Pose Estimation (I8) 254 254 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Object Detection (F32) 130 130 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Object Detection (F16) 199 199 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Object Detection (I8) 190 190 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Face Detection (F32) 344 344 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Face Detection (F16) 510 510 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Face Detection (I8) 482 482 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Depth Estimation (F32) 325 325 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Depth Estimation (F16) 397 397 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Depth Estimation (I8) 397 397 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Style Transfer (F32) 721 721 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Style Transfer (F16) 994 994 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Style Transfer (I8) 995 995 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Super-Resolution (F32) 151 151 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Super-Resolution (F16) 207 207 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Super-Resolution (I8) 208 208 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Text Classification (F32) 160 160 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Text Classification (F16) 165 165 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Text Classification (I8) 333 333 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Machine Translation (F32) 293 293 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Machine Translation (F16) 295 295 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Machine Translation (I8) 295 295 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo