samsung SM-A566B
Geekbench AI Score
1455
Single Precision Score
1448
Half Precision Score
2920
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 24 2025 03:48 PM |
| Views | 2 |
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 | 11.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
1144
212.7 IPS |
|
|
Image Classification (Q)
|
100% |
2157
401.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1015
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2426
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2415
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2434
2.84 IPS |
|
|
Pose Estimation (Q)
|
84% |
5887
6.98 IPS |
|
|
Object Detection (SP)
|
98% |
1061
84.5 IPS |
|
|
Object Detection (HP)
|
98% |
1025
81.5 IPS |
|
|
Object Detection (Q)
|
83% |
2051
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
4827
57.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2229
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2243
17.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
5226
47.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5549
7.20 IPS |
|
|
Style Transfer (HP)
|
89% |
5559
7.22 IPS |
|
|
Style Transfer (Q)
|
98% |
13294
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1147
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3416
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
648
865.1 IPS |
|
|
Text Classification (HP)
|
99% |
650
867.0 IPS |
|
|
Text Classification (Q)
|
88% |
1107
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1003
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
563
20.0 IPS |
