Samsung Galaxy XCover 7 samsung SM-A566B
Geekbench AI Score
1493
Single Precision Score
1500
Half Precision Score
2990
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | December 07 2025 11:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
1163
216.3 IPS |
|
|
Image Classification (HP)
|
100% |
1217
226.4 IPS |
|
|
Image Classification (Q)
|
100% |
2156
401.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2468
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2545
2.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
6392
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1102
87.7 IPS |
|
|
Object Detection (HP)
|
98% |
1058
84.2 IPS |
|
|
Object Detection (Q)
|
83% |
2000
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
4876
58.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2206
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2192
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5341
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5942
7.71 IPS |
|
|
Style Transfer (HP)
|
89% |
5944
7.72 IPS |
|
|
Style Transfer (Q)
|
98% |
14027
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1120
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1120
41.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3398
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
627
836.3 IPS |
|
|
Text Classification (HP)
|
99% |
656
874.9 IPS |
|
|
Text Classification (Q)
|
88% |
1126
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (Q)
|
50% |
602
21.4 IPS |
