samsung SM-A566B
Geekbench AI Score
802
Single Precision Score
1117
Half Precision Score
837
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:28 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A566B |
| Model ID | samsung SM-A566B |
| 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% |
400
74.4 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.4 IPS |
|
|
Image Classification (Q)
|
100% |
411
76.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
700
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1048
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3416
3.99 IPS |
|
|
Pose Estimation (HP)
|
99% |
6855
8.00 IPS |
|
|
Pose Estimation (Q)
|
95% |
6775
7.94 IPS |
|
|
Object Detection (SP)
|
100% |
407
32.3 IPS |
|
|
Object Detection (HP)
|
99% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
84% |
628
50.7 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
2636
31.3 IPS |
|
|
Face Detection (Q)
|
97% |
2128
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2181
16.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3729
28.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2803
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6527
8.39 IPS |
|
|
Style Transfer (HP)
|
100% |
10140
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
10108
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1782
66.0 IPS |
|
|
Text Classification (SP)
|
35% |
32
290.7 IPS |
|
|
Text Classification (HP)
|
35% |
21
193.6 IPS |
|
|
Text Classification (Q)
|
31% |
12
185.5 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
339
5.84 IPS |
|
|
Machine Translation (Q)
|
42% |
72
4.64 IPS |
