samsung SM-A566B
Geekbench AI Score
259
Single Precision Score
255
Half Precision Score
585
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 11:36 AM |
| Views | 2 |
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% |
164
30.5 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
99% |
422
78.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
456
7.42 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
263
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1051
1.23 IPS |
|
|
Object Detection (SP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.3 IPS |
|
|
Object Detection (Q)
|
87% |
441
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
433
5.15 IPS |
|
|
Face Detection (HP)
|
100% |
435
5.17 IPS |
|
|
Face Detection (Q)
|
97% |
913
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
349
2.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
330
2.54 IPS |
|
|
Depth Estimation (Q)
|
64% |
748
6.79 IPS |
|
|
Style Transfer (SP)
|
100% |
548
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
542
0.70 IPS |
|
|
Style Transfer (Q)
|
98% |
1552
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
556
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.7 IPS |
|
|
Text Classification (HP)
|
100% |
198
263.8 IPS |
|
|
Text Classification (Q)
|
91% |
337
452.9 IPS |
|
|
Machine Translation (SP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.76 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.53 IPS |
