samsung SM-X520
Geekbench AI Score
1416
Single Precision Score
1415
Half Precision Score
2742
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:42 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% |
1139
211.8 IPS |
|
|
Image Classification (HP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (Q)
|
100% |
2118
393.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1075
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2436
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2447
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2393
2.79 IPS |
|
|
Pose Estimation (Q)
|
84% |
5601
6.64 IPS |
|
|
Object Detection (SP)
|
98% |
998
79.4 IPS |
|
|
Object Detection (HP)
|
98% |
995
79.2 IPS |
|
|
Object Detection (Q)
|
83% |
1801
145.5 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
4515
53.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2100
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2129
16.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4889
44.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5520
7.17 IPS |
|
|
Style Transfer (HP)
|
89% |
5524
7.17 IPS |
|
|
Style Transfer (Q)
|
98% |
12344
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2989
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.5 IPS |
|
|
Text Classification (HP)
|
99% |
573
764.2 IPS |
|
|
Text Classification (Q)
|
88% |
1030
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1010
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
551
19.6 IPS |
