DANEW Konnect_557 DANEW Konnect_557 Difference
Single Precision 131 131 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Half Precision 131 131 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Quantized 170 170 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Geekbench AI 1.2.0 Geekbench AI 1.2.0

System Information

DANEW Konnect_557 DANEW Konnect_557
AI Framework TensorFlow Lite TensorFlow Lite
AI Backend CPU CPU
AI Device ARM Unisoc ARM Unisoc
Operating System Android 13 Android 13
Model DANEW Konnect_557 DANEW Konnect_557
Processor ARM Unisoc @ 1.82 GHz
1 Processor, 4 Cores
ARM Unisoc @ 1.82 GHz
1 Processor, 4 Cores
Processor ID ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 ARM implementer 65 architecture 8 variant 3 part 3338 revision 1
Motherboard ums312_2h10 ums312_2h10
Memory 2.75 GB 2.75 GB

AI Performance

DANEW Konnect_557 DANEW Konnect_557 Difference
Image Classification (SP) 55 55 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Classification (HP) 56 56 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Classification (Q) 114 114 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Segmentation (SP) 70 70 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Segmentation (HP) 73 73 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Segmentation (Q) 135 135 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Pose Estimation (SP) 272 272 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Pose Estimation (HP) 269 269 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Pose Estimation (Q) 202 202 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Object Detection (SP) 55 55 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Object Detection (HP) 55 55 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Object Detection (Q) 111 111 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Face Detection (SP) 188 188 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Face Detection (HP) 188 188 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Face Detection (Q) 305 305 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Depth Estimation (SP) 252 252 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Depth Estimation (HP) 246 246 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Depth Estimation (Q) 240 240 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Style Transfer (SP) 444 444 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Style Transfer (HP) 443 443 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Style Transfer (Q) 550 550 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Super-Resolution (SP) 132 132 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Super-Resolution (HP) 132 132 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Image Super-Resolution (Q) 134 134 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Text Classification (SP) 71 71 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Text Classification (HP) 70 70 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Text Classification (Q) 117 117 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Machine Translation (SP) 134 134 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Machine Translation (HP) 132 132 100.0%
DANEW Konnect_557
 
DANEW Konnect_557
 
Machine Translation (Q) 98 98 100.0%
DANEW Konnect_557
 
DANEW Konnect_557