Samsung Galaxy A72
Geekbench AI Score
327
Single Precision Score
542
Half Precision Score
499
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | Dorian692137420 |
| Upload Date | September 07 2025 05:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.2 IPS |
|
|
Image Classification (Q)
|
99% |
362
67.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
344
5.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
545
8.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
1269
1.48 IPS |
|
|
Pose Estimation (HP)
|
99% |
2159
2.52 IPS |
|
|
Pose Estimation (Q)
|
97% |
2129
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (HP)
|
99% |
327
26.0 IPS |
|
|
Object Detection (Q)
|
85% |
311
25.0 IPS |
|
|
Face Detection (SP)
|
100% |
713
8.48 IPS |
|
|
Face Detection (HP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
1061
12.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
718
5.53 IPS |
|
|
Depth Estimation (HP)
|
98% |
1221
9.44 IPS |
|
|
Depth Estimation (Q)
|
63% |
997
9.20 IPS |
|
|
Style Transfer (SP)
|
100% |
1718
2.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3314
4.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3203
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
550
20.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
541
20.0 IPS |
|
|
Text Classification (SP)
|
35% |
12
120.6 IPS |
|
|
Text Classification (HP)
|
35% |
20
183.9 IPS |
|
|
Text Classification (Q)
|
35% |
20
178.8 IPS |
|
|
Machine Translation (SP)
|
100% |
205
3.52 IPS |
|
|
Machine Translation (HP)
|
97% |
256
4.43 IPS |
|
|
Machine Translation (Q)
|
64% |
202
4.16 IPS |
