samsung SM-A566B
Geekbench AI Score
277
Single Precision Score
278
Half Precision Score
648
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DonMiguel85 |
| Upload Date | September 11 2025 10:10 AM |
| Views | 6 |
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
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
166
30.8 IPS |
|
|
Image Classification (Q)
|
99% |
424
79.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
223
3.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
284
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1104
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (HP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (Q)
|
87% |
462
37.1 IPS |
|
|
Face Detection (SP)
|
100% |
455
5.41 IPS |
|
|
Face Detection (HP)
|
100% |
457
5.43 IPS |
|
|
Face Detection (Q)
|
97% |
956
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
365
2.81 IPS |
|
|
Depth Estimation (HP)
|
99% |
365
2.82 IPS |
|
|
Depth Estimation (Q)
|
64% |
895
8.12 IPS |
|
|
Style Transfer (SP)
|
100% |
631
0.81 IPS |
|
|
Style Transfer (HP)
|
100% |
630
0.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1853
2.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
177
6.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
176
6.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
227
303.6 IPS |
|
|
Text Classification (HP)
|
100% |
228
304.1 IPS |
|
|
Text Classification (Q)
|
91% |
392
527.3 IPS |
|
|
Machine Translation (SP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
57% |
329
8.04 IPS |
