samsung SM-A566E
Geekbench AI Score
1495
Single Precision Score
1514
Half Precision Score
3028
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 30 2025 05:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A566E |
| Model ID | samsung SM-A566E |
| Motherboard | s5e8855 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3457 revision 1 |
| Base Frequency | 1.95 GHz |
| Cluster 1 | 4 Cores @ 1.95 GHz |
| Cluster 2 | 3 Cores @ 2.60 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1168
217.3 IPS |
|
|
Image Classification (HP)
|
100% |
1236
229.8 IPS |
|
|
Image Classification (Q)
|
100% |
2222
413.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2465
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2455
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2457
2.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
6335
7.51 IPS |
|
|
Object Detection (SP)
|
98% |
1094
87.0 IPS |
|
|
Object Detection (HP)
|
98% |
1145
91.1 IPS |
|
|
Object Detection (Q)
|
83% |
2104
169.9 IPS |
|
|
Face Detection (SP)
|
100% |
1676
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1652
19.6 IPS |
|
|
Face Detection (Q)
|
95% |
4939
59.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2134
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5289
48.4 IPS |
|
|
Style Transfer (SP)
|
89% |
5816
7.55 IPS |
|
|
Style Transfer (HP)
|
89% |
5815
7.55 IPS |
|
|
Style Transfer (Q)
|
98% |
14119
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1189
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3454
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
649
865.6 IPS |
|
|
Text Classification (HP)
|
99% |
638
852.0 IPS |
|
|
Text Classification (Q)
|
88% |
1156
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1083
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
604
21.5 IPS |
