samsung SM-A566B
Geekbench AI Score
1480
Single Precision Score
1491
Half Precision Score
2949
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 01 2025 03:33 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1161
216.0 IPS |
|
|
Image Classification (HP)
|
100% |
1145
213.0 IPS |
|
|
Image Classification (Q)
|
100% |
2163
402.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2450
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2518
2.94 IPS |
|
|
Pose Estimation (Q)
|
84% |
5779
6.85 IPS |
|
|
Object Detection (SP)
|
98% |
1047
83.3 IPS |
|
|
Object Detection (HP)
|
98% |
1107
88.1 IPS |
|
|
Object Detection (Q)
|
83% |
2010
162.4 IPS |
|
|
Face Detection (SP)
|
100% |
1612
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (Q)
|
95% |
4863
58.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2126
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2128
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
5345
49.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5899
7.66 IPS |
|
|
Style Transfer (HP)
|
89% |
5857
7.60 IPS |
|
|
Style Transfer (Q)
|
98% |
14092
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1190
43.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3404
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.9 IPS |
|
|
Text Classification (HP)
|
99% |
630
840.8 IPS |
|
|
Text Classification (Q)
|
88% |
1141
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
50% |
569
20.2 IPS |
