samsung SM-X520
Geekbench AI Score
1468
Single Precision Score
1460
Half Precision Score
3016
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:32 PM |
| Views | 3 |
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% |
1139
211.8 IPS |
|
|
Image Classification (HP)
|
100% |
1136
211.2 IPS |
|
|
Image Classification (Q)
|
100% |
2215
412.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1026
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2439
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2441
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2491
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
6432
7.63 IPS |
|
|
Object Detection (SP)
|
98% |
1095
87.2 IPS |
|
|
Object Detection (HP)
|
98% |
1011
80.5 IPS |
|
|
Object Detection (Q)
|
83% |
2083
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1542
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
4812
57.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2209
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2181
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
5302
48.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5743
7.46 IPS |
|
|
Style Transfer (HP)
|
89% |
5717
7.42 IPS |
|
|
Style Transfer (Q)
|
98% |
14029
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1151
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1155
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3398
125.9 IPS |
|
|
Text Classification (SP)
|
100% |
628
838.6 IPS |
|
|
Text Classification (HP)
|
99% |
666
888.5 IPS |
|
|
Text Classification (Q)
|
88% |
1231
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
50% |
576
20.4 IPS |
