samsung SM-A566B
Geekbench AI Score
801
Single Precision Score
1171
Half Precision Score
890
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 17 2025 04:13 AM |
| Views | 6 |
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% |
467
86.9 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
100% |
448
83.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1054
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3312
3.86 IPS |
|
|
Pose Estimation (HP)
|
99% |
6874
8.02 IPS |
|
|
Pose Estimation (Q)
|
95% |
6724
7.88 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
99% |
680
54.0 IPS |
|
|
Object Detection (Q)
|
84% |
630
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
2193
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2160
16.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3756
29.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2850
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6475
8.32 IPS |
|
|
Style Transfer (HP)
|
100% |
10067
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
10236
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1139
42.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1839
67.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1806
66.9 IPS |
|
|
Text Classification (SP)
|
35% |
31
284.2 IPS |
|
|
Text Classification (HP)
|
35% |
24
220.9 IPS |
|
|
Text Classification (Q)
|
31% |
20
294.7 IPS |
|
|
Machine Translation (SP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (HP)
|
100% |
320
5.51 IPS |
|
|
Machine Translation (Q)
|
42% |
68
4.43 IPS |
