samsung SM-A566B
Geekbench AI Score
1436
Single Precision Score
1443
Half Precision Score
2945
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 11 2025 02:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
1192
221.7 IPS |
|
|
Image Classification (Q)
|
100% |
2208
410.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2437
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2377
2.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
6141
7.28 IPS |
|
|
Object Detection (SP)
|
98% |
1075
85.6 IPS |
|
|
Object Detection (HP)
|
98% |
1090
86.7 IPS |
|
|
Object Detection (Q)
|
83% |
2049
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1534
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
4814
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1970
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2026
15.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5140
47.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5634
7.31 IPS |
|
|
Style Transfer (HP)
|
89% |
5674
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
13994
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1072
39.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3312
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
602
803.9 IPS |
|
|
Text Classification (HP)
|
99% |
597
797.2 IPS |
|
|
Text Classification (Q)
|
88% |
1098
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
