samsung SM-X520
Geekbench AI Score
1413
Single Precision Score
1407
Half Precision Score
2797
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:39 PM |
| Views | 2 |
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% |
1130
210.2 IPS |
|
|
Image Classification (HP)
|
100% |
1131
210.2 IPS |
|
|
Image Classification (Q)
|
100% |
2130
396.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1032
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2355
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
5671
6.73 IPS |
|
|
Object Detection (SP)
|
98% |
1008
80.2 IPS |
|
|
Object Detection (HP)
|
98% |
979
77.9 IPS |
|
|
Object Detection (Q)
|
83% |
1819
147.0 IPS |
|
|
Face Detection (SP)
|
100% |
1536
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (Q)
|
95% |
4478
53.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2111
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2065
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4882
44.7 IPS |
|
|
Style Transfer (SP)
|
89% |
5590
7.26 IPS |
|
|
Style Transfer (HP)
|
89% |
5609
7.28 IPS |
|
|
Style Transfer (Q)
|
98% |
13531
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1124
41.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3169
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
528
705.1 IPS |
|
|
Text Classification (HP)
|
99% |
580
774.6 IPS |
|
|
Text Classification (Q)
|
88% |
1055
1.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
50% |
555
19.7 IPS |
