Samsung Galaxy A72
Geekbench AI Score
178
Single Precision Score
237
Half Precision Score
315
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 24 2024 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
187
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
266
49.5 IPS |
|
|
Image Classification (Q)
|
97% |
471
87.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
573
9.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
489
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1143
1.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
3589
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (HP)
|
100% |
86
6.80 IPS |
|
|
Object Detection (Q)
|
85% |
574
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
223
2.65 IPS |
|
|
Face Detection (Q)
|
97% |
1424
17.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
264
2.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
22% |
93
21.4 IPS |
|
|
Style Transfer (SP)
|
100% |
421
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
307
0.39 IPS |
|
|
Style Transfer (Q)
|
98% |
1771
2.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
297
11.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1689
62.6 IPS |
|
|
Text Classification (SP)
|
71% |
5
6.59 IPS |
|
|
Text Classification (HP)
|
100% |
122
162.8 IPS |
|
|
Text Classification (Q)
|
93% |
45
60.2 IPS |
|
|
Machine Translation (SP)
|
100% |
155
2.68 IPS |
|
|
Machine Translation (HP)
|
100% |
207
3.57 IPS |
|
|
Machine Translation (Q)
|
0
|
