samsung SM-X520
Geekbench AI Score
1200
Single Precision Score
1190
Half Precision Score
2144
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 17 2026 11:14 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% |
1109
206.3 IPS |
|
|
Image Classification (HP)
|
100% |
1178
219.1 IPS |
|
|
Image Classification (Q)
|
100% |
2144
398.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2430
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2467
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2352
2.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
5656
6.71 IPS |
|
|
Object Detection (SP)
|
98% |
1012
80.6 IPS |
|
|
Object Detection (HP)
|
98% |
1017
80.9 IPS |
|
|
Object Detection (Q)
|
83% |
1771
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1488
17.7 IPS |
|
|
Face Detection (Q)
|
95% |
4473
53.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2118
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2117
16.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
4616
42.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5523
7.17 IPS |
|
|
Style Transfer (HP)
|
89% |
5540
7.19 IPS |
|
|
Style Transfer (Q)
|
98% |
5452
7.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
592
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1250
46.3 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.4 IPS |
|
|
Text Classification (HP)
|
99% |
192
256.9 IPS |
|
|
Text Classification (Q)
|
88% |
519
700.1 IPS |
|
|
Machine Translation (SP)
|
100% |
939
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
