samsung SM-A566B
Geekbench AI Score
262
Single Precision Score
259
Half Precision Score
604
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 04:44 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
165
30.6 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
424
79.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
459
7.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
280
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1049
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
151
12.0 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
87% |
442
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.21 IPS |
|
|
Face Detection (HP)
|
100% |
440
5.23 IPS |
|
|
Face Detection (Q)
|
97% |
885
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
349
2.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
330
2.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
790
7.17 IPS |
|
|
Style Transfer (SP)
|
100% |
578
0.74 IPS |
|
|
Style Transfer (HP)
|
100% |
558
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1667
2.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
160
5.90 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
160
5.91 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
557
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
210
280.8 IPS |
|
|
Text Classification (HP)
|
100% |
211
281.5 IPS |
|
|
Text Classification (Q)
|
91% |
361
485.5 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
345
5.95 IPS |
|
|
Machine Translation (Q)
|
57% |
307
7.50 IPS |
