Geekbench AI Score

73
Single Precision Score
72
Half Precision Score
128
Quantized Score
Geekbench AI 1.4.0 for Android AArch64

Result Information

Upload Date July 10 2025 09:32 AM
Views 3

System Information

AI Information
Framework TensorFlow Lite
Backend NNAPI
Device ARM MT6769V/CB
System Information
Operating System Android 15
Model HONOR NIC-LX2
Model IDHONOR NIC-LX2
Motherboard NICL
CPU Information
Name ARM MT6769V/CB
Topology 1 Processor, 8 Cores
Identifier ARM implementer 65 architecture 8 variant 3 part 3338 revision 1
Base Frequency 1.70 GHz
Cluster 16 Cores @ 1.70 GHz
Cluster 22 Cores @ 2.00 GHz
Memory Information
Size 5.65 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 45
8.31 IPS
 
Image Classification (HP)
100% 45
8.37 IPS
 
Image Classification (Q)
99% 90
16.7 IPS
 
Image Segmentation (SP)
100% 62
1.01 IPS
 
Image Segmentation (HP)
100% 63
1.02 IPS
 
Image Segmentation (Q)
98% 109
1.78 IPS
 
Pose Estimation (SP)
100% 88
0.10 IPS
 
Pose Estimation (HP)
100% 77
0.09 IPS
 
Pose Estimation (Q)
98% 184
0.22 IPS
 
Object Detection (SP)
100% 46
3.62 IPS
 
Object Detection (HP)
100% 46
3.62 IPS
 
Object Detection (Q)
87% 80
6.44 IPS
 
Face Detection (SP)
100% 105
1.25 IPS
 
Face Detection (HP)
100% 106
1.26 IPS
 
Face Detection (Q)
97% 208
2.48 IPS
 
Depth Estimation (SP)
100% 94
0.72 IPS
 
Depth Estimation (HP)
99% 94
0.73 IPS
 
Depth Estimation (Q)
64% 163
1.48 IPS
 
Style Transfer (SP)
100% 159
0.20 IPS
 
Style Transfer (HP)
100% 157
0.20 IPS
 
Style Transfer (Q)
98% 368
0.47 IPS
 
Image Super-Resolution (SP)
100% 46
1.71 IPS
 
Image Super-Resolution (HP)
100% 46
1.71 IPS
 
Image Super-Resolution (Q)
97% 104
3.87 IPS
 
Text Classification (SP)
100% 57
76.4 IPS
 
Text Classification (HP)
100% 57
76.4 IPS
 
Text Classification (Q)
91% 88
118.0 IPS
 
Machine Translation (SP)
100% 102
1.75 IPS
 
Machine Translation (HP)
100% 101
1.75 IPS
 
Machine Translation (Q)
57% 76
1.85 IPS
 

Compare

Set Baseline Geekbench 6 now available