Geekbench AI Score

165
Single Precision Score
228
Half Precision Score
344
Quantized Score
Geekbench AI 1.4.0 for Android AArch64

Result Information

Upload Date July 14 2025 03:09 AM
Views 4

System Information

AI Information
Framework TensorFlow Lite
Backend NNAPI
Device Qualcomm Snapdragon 730
System Information
Operating System Android 13
Model Samsung Galaxy A71
Model IDsamsung SM-A715F
Motherboard sm6150
Governorschedutil
CPU Information
Name Qualcomm Qualcomm
Topology 1 Processor, 8 Cores
Identifier ARM implementer 81 architecture 8 variant 13 part 2052 revision 14
Base Frequency 1.80 GHz
Cluster 16 Cores @ 1.80 GHz
Cluster 22 Cores @ 2.21 GHz
Memory Information
Size 5.39 GB

AI Performance

Workload Accuracy Score
Image Classification (SP)
100% 165
30.8 IPS
 
Image Classification (HP)
100% 235
43.6 IPS
 
Image Classification (Q)
97% 588
109.8 IPS
 
Image Segmentation (SP)
100% 202
3.27 IPS
 
Image Segmentation (HP)
100% 119
1.93 IPS
 
Image Segmentation (Q)
98% 696
11.3 IPS
 
Pose Estimation (SP)
100% 365
0.43 IPS
 
Pose Estimation (HP)
100% 912
1.06 IPS
 
Pose Estimation (Q)
96% 4101
4.80 IPS
 
Object Detection (SP)
100% 150
11.9 IPS
 
Object Detection (HP)
100% 87
6.92 IPS
 
Object Detection (Q)
85% 648
52.1 IPS
 
Face Detection (SP)
100% 370
4.40 IPS
 
Face Detection (HP)
100% 224
2.66 IPS
 
Face Detection (Q)
97% 1400
16.7 IPS
 
Depth Estimation (SP)
99% 264
2.04 IPS
 
Depth Estimation (HP)
99% 189
1.45 IPS
 
Depth Estimation (Q)
22% 104
23.8 IPS
 
Style Transfer (SP)
100% 422
0.54 IPS
 
Style Transfer (HP)
100% 316
0.41 IPS
 
Style Transfer (Q)
98% 1846
2.38 IPS
 
Image Super-Resolution (SP)
100% 248
9.14 IPS
 
Image Super-Resolution (HP)
100% 486
18.0 IPS
 
Image Super-Resolution (Q)
97% 1854
68.7 IPS
 
Text Classification (SP)
71% 5
6.89 IPS
 
Text Classification (HP)
100% 125
167.2 IPS
 
Text Classification (Q)
93% 43
57.5 IPS
 
Machine Translation (SP)
100% 167
2.88 IPS
 
Machine Translation (HP)
100% 213
3.68 IPS
 
Machine Translation (Q)
0
 

Compare

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