Geekbench AI Score

148
Single Precision Score
178
Half Precision Score
534
Quantized Score
Geekbench AI 1.4.0 for Android AArch64

Result Information

Upload Date July 11 2025 08:05 PM
Views 4

System Information

AI Information
Framework TensorFlow Lite
Backend NNAPI
Device Qualcomm Snapdragon 712
System Information
Operating System Android 15
Model Xiaomi Mi 9 SE
Model IDXiaomi Mi 9 SE
Motherboard sdm710
Governorschedutil
CPU Information
Name Qualcomm Qualcomm
Topology 1 Processor, 8 Cores
Identifier ARM implementer 81 architecture 8 variant 6 part 2050 revision 13
Base Frequency 1.71 GHz
Cluster 16 Cores @ 1.71 GHz
Cluster 22 Cores @ 2.30 GHz
Memory Information
Size 5.48 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 164
30.5 IPS
 
Image Classification (HP)
100% 220
41.0 IPS
 
Image Classification (Q)
97% 578
107.9 IPS
 
Image Segmentation (SP)
100% 205
3.33 IPS
 
Image Segmentation (HP)
100% 80
1.30 IPS
 
Image Segmentation (Q)
98% 742
12.1 IPS
 
Pose Estimation (SP)
100% 355
0.41 IPS
 
Pose Estimation (HP)
100% 902
1.05 IPS
 
Pose Estimation (Q)
96% 4186
4.90 IPS
 
Object Detection (SP)
100% 158
12.5 IPS
 
Object Detection (HP)
100% 59
4.68 IPS
 
Object Detection (Q)
85% 596
47.9 IPS
 
Face Detection (SP)
100% 366
4.35 IPS
 
Face Detection (HP)
100% 154
1.83 IPS
 
Face Detection (Q)
97% 1534
18.3 IPS
 
Depth Estimation (SP)
99% 226
1.74 IPS
 
Depth Estimation (HP)
99% 142
1.09 IPS
 
Depth Estimation (Q)
22% 104
23.7 IPS
 
Style Transfer (SP)
100% 392
0.50 IPS
 
Style Transfer (HP)
100% 264
0.34 IPS
 
Style Transfer (Q)
98% 1505
1.94 IPS
 
Image Super-Resolution (SP)
100% 250
9.22 IPS
 
Image Super-Resolution (HP)
100% 495
18.3 IPS
 
Image Super-Resolution (Q)
97% 1748
64.8 IPS
 
Text Classification (SP)
71% 3
4.57 IPS
 
Text Classification (HP)
100% 84
112.4 IPS
 
Text Classification (Q)
93% 56
74.8 IPS
 
Machine Translation (SP)
100% 113
1.94 IPS
 
Machine Translation (HP)
100% 149
2.56 IPS
 
Machine Translation (Q)
54% 75
2.10 IPS
 

Compare

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