Samsung SM-A515U
Geekbench AI Score
1238
Single Precision Score
2090
Half Precision Score
1201
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | kasid |
| Upload Date | September 05 2025 11:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | placeholder |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Samsung SM-A515U |
| Model ID | Samsung SM-A515U |
| Motherboard | SM-A515U |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | placeholder |
| Topology | 1 Processor, 4 Cores |
| Identifier | ARM implementer 78 architecture 8 variant 2 part 0 revision 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores @ 3.20 GHz |
| Memory Information | |
|---|---|
| Size | 3.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
1720
319.8 IPS |
|
|
Image Classification (Q)
|
96% |
960
179.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
899
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
661
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7831
9.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9052
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8526
9.99 IPS |
|
|
Object Detection (SP)
|
100% |
665
52.8 IPS |
|
|
Object Detection (HP)
|
100% |
1234
97.8 IPS |
|
|
Object Detection (Q)
|
89% |
1201
96.1 IPS |
|
|
Face Detection (SP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (Q)
|
97% |
1586
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3097
23.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6192
47.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
5097
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17962
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
25710
33.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22712
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2792
103.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1925
71.3 IPS |
|
|
Text Classification (SP)
|
100% |
109
145.4 IPS |
|
|
Text Classification (HP)
|
100% |
107
143.3 IPS |
|
|
Text Classification (Q)
|
91% |
47
62.8 IPS |
|
|
Machine Translation (SP)
|
100% |
194
3.34 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (Q)
|
57% |
58
1.42 IPS |
