samsung SM-A566B
Geekbench AI Score
1411
Single Precision Score
1403
Half Precision Score
2801
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DonMiguel85 |
| Upload Date | September 12 2025 12:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1115
207.3 IPS |
|
|
Image Classification (HP)
|
100% |
1187
220.7 IPS |
|
|
Image Classification (Q)
|
100% |
2116
393.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2429
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2444
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2396
2.80 IPS |
|
|
Pose Estimation (Q)
|
84% |
5689
6.75 IPS |
|
|
Object Detection (SP)
|
98% |
974
77.5 IPS |
|
|
Object Detection (HP)
|
98% |
1001
79.7 IPS |
|
|
Object Detection (Q)
|
83% |
1907
154.0 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
4680
55.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2198
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1829
14.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4855
44.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5346
6.94 IPS |
|
|
Style Transfer (HP)
|
89% |
5344
6.94 IPS |
|
|
Style Transfer (Q)
|
98% |
12324
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1089
40.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3169
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
592
789.7 IPS |
|
|
Text Classification (HP)
|
99% |
612
816.5 IPS |
|
|
Text Classification (Q)
|
88% |
1163
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (Q)
|
50% |
517
18.4 IPS |
