Samsung Galaxy A72
Geekbench AI Score
175
Single Precision Score
174
Half Precision Score
378
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Dorian692137420 |
| Upload Date | September 07 2025 05:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 720G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A72 |
| Model ID | samsung SM-A725F |
| Motherboard | atoll |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
99% |
265
49.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
278
4.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
200
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
204
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
768
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
112
8.86 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.90 IPS |
|
|
Object Detection (Q)
|
87% |
299
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
273
3.24 IPS |
|
|
Face Detection (HP)
|
100% |
276
3.28 IPS |
|
|
Face Detection (Q)
|
97% |
554
6.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
236
1.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
544
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
386
0.50 IPS |
|
|
Style Transfer (HP)
|
100% |
336
0.43 IPS |
|
|
Style Transfer (Q)
|
98% |
990
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
99
3.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
99
3.66 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
334
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
132
176.5 IPS |
|
|
Text Classification (HP)
|
100% |
131
175.0 IPS |
|
|
Text Classification (Q)
|
91% |
212
285.3 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.99 IPS |
|
|
Machine Translation (Q)
|
57% |
167
4.08 IPS |
