samsung SM-X520
Geekbench AI Score
1395
Single Precision Score
1386
Half Precision Score
2674
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X520 |
| Model ID | samsung SM-X520 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1198
222.7 IPS |
|
|
Image Classification (HP)
|
100% |
1214
225.8 IPS |
|
|
Image Classification (Q)
|
100% |
2102
391.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1091
17.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2418
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2381
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2278
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
5632
6.68 IPS |
|
|
Object Detection (SP)
|
98% |
999
79.5 IPS |
|
|
Object Detection (HP)
|
98% |
993
79.0 IPS |
|
|
Object Detection (Q)
|
83% |
1742
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
1504
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1517
18.0 IPS |
|
|
Face Detection (Q)
|
95% |
4358
52.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1848
14.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1768
13.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4638
42.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5387
6.99 IPS |
|
|
Style Transfer (HP)
|
89% |
5418
7.03 IPS |
|
|
Style Transfer (Q)
|
98% |
12248
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1102
40.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1111
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2993
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
568
757.8 IPS |
|
|
Text Classification (HP)
|
99% |
553
737.8 IPS |
|
|
Text Classification (Q)
|
88% |
957
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
50% |
529
18.8 IPS |
