samsung SM-A566B
Geekbench AI Score
793
Single Precision Score
1168
Half Precision Score
847
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DonMiguel85 |
| Upload Date | September 12 2025 12:24 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
396
73.6 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.0 IPS |
|
|
Image Classification (Q)
|
100% |
416
77.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1049
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3257
3.80 IPS |
|
|
Pose Estimation (HP)
|
99% |
6830
7.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
6732
7.89 IPS |
|
|
Object Detection (SP)
|
100% |
395
31.3 IPS |
|
|
Object Detection (HP)
|
99% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
84% |
636
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
1588
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
2670
31.7 IPS |
|
|
Face Detection (Q)
|
97% |
2166
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2162
16.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3676
28.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2829
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6628
8.52 IPS |
|
|
Style Transfer (HP)
|
100% |
10175
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10164
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1892
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1896
70.3 IPS |
|
|
Text Classification (SP)
|
35% |
32
293.7 IPS |
|
|
Text Classification (HP)
|
35% |
32
290.7 IPS |
|
|
Text Classification (Q)
|
31% |
12
176.2 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.78 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (Q)
|
42% |
72
4.63 IPS |
