samsung SM-A566B
Geekbench AI Score
803
Single Precision Score
1159
Half Precision Score
853
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 10 2025 01:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
405
75.2 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.8 IPS |
|
|
Image Classification (Q)
|
100% |
415
77.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
698
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1091
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3361
3.92 IPS |
|
|
Pose Estimation (HP)
|
99% |
6838
7.98 IPS |
|
|
Pose Estimation (Q)
|
95% |
6691
7.84 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
99% |
676
53.6 IPS |
|
|
Object Detection (Q)
|
84% |
620
50.0 IPS |
|
|
Face Detection (SP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2596
30.8 IPS |
|
|
Face Detection (Q)
|
97% |
2128
25.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2127
16.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3629
28.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2808
27.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6606
8.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10272
13.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10184
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1172
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1863
69.0 IPS |
|
|
Text Classification (SP)
|
35% |
34
308.3 IPS |
|
|
Text Classification (HP)
|
35% |
25
225.4 IPS |
|
|
Text Classification (Q)
|
31% |
13
191.5 IPS |
|
|
Machine Translation (SP)
|
100% |
339
5.83 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (Q)
|
42% |
74
4.77 IPS |
