Samsung Galaxy A71
Geekbench AI Score
164
Single Precision Score
230
Half Precision Score
347
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 02 2025 08:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 730 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Samsung Galaxy A71 |
| Model ID | samsung SM-A715F |
| Motherboard | sm6150 |
| Governor | schedutil |
| 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 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.6 IPS |
|
|
Image Classification (Q)
|
97% |
574
107.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
186
3.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
98% |
700
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
360
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
904
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
4064
4.76 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
88
6.97 IPS |
|
|
Object Detection (Q)
|
85% |
646
52.0 IPS |
|
|
Face Detection (SP)
|
100% |
378
4.49 IPS |
|
|
Face Detection (HP)
|
100% |
225
2.67 IPS |
|
|
Face Detection (Q)
|
97% |
1511
18.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
263
2.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
191
1.47 IPS |
|
|
Depth Estimation (Q)
|
22% |
102
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
432
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
321
0.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1847
2.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1787
66.2 IPS |
|
|
Text Classification (SP)
|
71% |
5
6.72 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.4 IPS |
|
|
Text Classification (Q)
|
93% |
48
64.9 IPS |
|
|
Machine Translation (SP)
|
100% |
168
2.89 IPS |
|
|
Machine Translation (HP)
|
100% |
219
3.77 IPS |
|
|
Machine Translation (Q)
|
0
|
