samsung SM-A566B
Geekbench AI Score
1375
Single Precision Score
1379
Half Precision Score
2743
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | StripeyMiata |
| Upload Date | August 07 2025 06:09 PM |
| Views | 12 |
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% |
1115
207.4 IPS |
|
|
Image Classification (HP)
|
100% |
1157
215.2 IPS |
|
|
Image Classification (Q)
|
100% |
2148
399.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2452
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2389
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
5958
7.07 IPS |
|
|
Object Detection (SP)
|
98% |
1002
79.8 IPS |
|
|
Object Detection (HP)
|
98% |
1010
80.3 IPS |
|
|
Object Detection (Q)
|
83% |
1813
146.5 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1466
17.4 IPS |
|
|
Face Detection (Q)
|
95% |
4348
51.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1769
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1731
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4691
43.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5382
6.99 IPS |
|
|
Style Transfer (HP)
|
89% |
5361
6.96 IPS |
|
|
Style Transfer (Q)
|
98% |
12354
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1077
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2998
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
557
743.9 IPS |
|
|
Text Classification (HP)
|
99% |
546
728.9 IPS |
|
|
Text Classification (Q)
|
88% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1057
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
572
20.3 IPS |
