motorola motorola edge 40 neo motorola motorola edge 40 neo Difference
Inference Score 277 277 100.0%
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 277 277 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Classification (F32) 139 139 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Classification (F16) 208 208 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Classification (I8) 191 191 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Segmentation (F32) 194 194 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Segmentation (F16) 290 290 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Segmentation (I8) 281 281 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Pose Estimation (F32) 165 165 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Pose Estimation (F16) 256 256 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Pose Estimation (I8) 255 255 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Object Detection (F32) 131 131 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Object Detection (F16) 198 198 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Object Detection (I8) 208 208 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Face Detection (F32) 355 355 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Face Detection (F16) 499 499 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Face Detection (I8) 438 438 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Depth Estimation (F32) 326 326 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Depth Estimation (F16) 398 398 100.0%
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) 713 713 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Style Transfer (F16) 996 996 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Style Transfer (I8) 997 997 100.0%
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) 203 203 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Image Super-Resolution (I8) 203 203 100.0%
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) 164 164 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Text Classification (I8) 332 332 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo
 
Machine Translation (F32) 295 295 100.0%
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) 300 300 100.0%
motorola motorola edge 40 neo
 
motorola motorola edge 40 neo