samsung SM-X520
Geekbench AI Score
739
Single Precision Score
1258
Half Precision Score
935
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:40 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
438
81.5 IPS |
|
|
Image Classification (HP)
|
100% |
717
133.4 IPS |
|
|
Image Classification (Q)
|
100% |
650
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
1126
18.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
991
16.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2854
3.33 IPS |
|
|
Pose Estimation (HP)
|
99% |
6135
7.16 IPS |
|
|
Pose Estimation (Q)
|
95% |
6018
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (HP)
|
99% |
640
50.8 IPS |
|
|
Object Detection (Q)
|
84% |
586
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2285
27.1 IPS |
|
|
Face Detection (Q)
|
97% |
1863
22.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1867
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3365
26.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2547
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5786
7.44 IPS |
|
|
Style Transfer (HP)
|
100% |
9495
12.2 IPS |
|
|
Style Transfer (Q)
|
98% |
9511
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1678
62.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1713
63.5 IPS |
|
|
Text Classification (SP)
|
35% |
34
310.1 IPS |
|
|
Text Classification (HP)
|
35% |
54
490.5 IPS |
|
|
Text Classification (Q)
|
31% |
30
440.1 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
42% |
97
6.26 IPS |
