samsung SM-X520
Geekbench AI Score
1459
Single Precision Score
1455
Half Precision Score
2873
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:35 PM |
| Views | 4 |
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% |
1117
207.6 IPS |
|
|
Image Classification (HP)
|
100% |
1209
224.9 IPS |
|
|
Image Classification (Q)
|
100% |
2122
394.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2419
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2491
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2407
2.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
5914
7.01 IPS |
|
|
Object Detection (SP)
|
98% |
1026
81.7 IPS |
|
|
Object Detection (HP)
|
98% |
1000
79.6 IPS |
|
|
Object Detection (Q)
|
83% |
1882
152.0 IPS |
|
|
Face Detection (SP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
4631
55.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2163
16.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
5072
46.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5584
7.25 IPS |
|
|
Style Transfer (HP)
|
89% |
5637
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
13604
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1154
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1167
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3285
121.7 IPS |
|
|
Text Classification (SP)
|
100% |
637
850.0 IPS |
|
|
Text Classification (HP)
|
99% |
599
799.9 IPS |
|
|
Text Classification (Q)
|
88% |
1134
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
565
20.1 IPS |
