Samsung Galaxy A52
Geekbench AI Score
507
Single Precision Score
510
Half Precision Score
968
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | makarovvova924 |
| Upload Date | October 13 2024 10:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 720G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Samsung Galaxy A52 |
| Model ID | samsung SM-A525F |
| 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 | 7.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
230
42.8 IPS |
|
|
Image Classification (HP)
|
100% |
231
43.0 IPS |
|
|
Image Classification (Q)
|
100% |
672
125.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
281
4.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
729
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1116
1.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
1674
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
83% |
668
54.0 IPS |
|
|
Face Detection (SP)
|
100% |
669
7.95 IPS |
|
|
Face Detection (HP)
|
100% |
695
8.26 IPS |
|
|
Face Detection (Q)
|
95% |
1481
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
902
6.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
917
7.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
1527
14.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1887
2.45 IPS |
|
|
Style Transfer (HP)
|
89% |
1903
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3869
4.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
486
17.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
952
35.3 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.8 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.6 IPS |
|
|
Text Classification (Q)
|
88% |
491
661.8 IPS |
|
|
Machine Translation (SP)
|
100% |
464
8.00 IPS |
|
|
Machine Translation (HP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (Q)
|
50% |
324
11.5 IPS |
