Samsung Galaxy A71
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 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 | 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
|
