samsung SM-A566E
Geekbench AI Score
1489
Single Precision Score
1482
Half Precision Score
2981
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 16 2025 11:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-A566E |
| Model ID | samsung SM-A566E |
| 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% |
1183
219.9 IPS |
|
|
Image Classification (HP)
|
100% |
1196
222.5 IPS |
|
|
Image Classification (Q)
|
100% |
2228
414.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1069
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2451
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2471
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
6042
7.17 IPS |
|
|
Object Detection (SP)
|
98% |
1098
87.4 IPS |
|
|
Object Detection (HP)
|
98% |
1098
87.3 IPS |
|
|
Object Detection (Q)
|
83% |
2063
166.7 IPS |
|
|
Face Detection (SP)
|
100% |
1557
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
95% |
4819
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2278
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2221
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5269
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5874
7.63 IPS |
|
|
Style Transfer (HP)
|
89% |
5820
7.55 IPS |
|
|
Style Transfer (Q)
|
98% |
14084
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1103
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3398
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
629
839.4 IPS |
|
|
Text Classification (HP)
|
99% |
625
834.8 IPS |
|
|
Text Classification (Q)
|
88% |
1131
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1029
17.7 IPS |
|
|
Machine Translation (Q)
|
50% |
594
21.1 IPS |
