samsung SM-X520
Geekbench AI Score
755
Single Precision Score
1225
Half Precision Score
932
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:35 PM |
| Views | 2 |
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% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (Q)
|
100% |
651
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
1049
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2802
3.27 IPS |
|
|
Pose Estimation (HP)
|
99% |
6079
7.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
6017
7.05 IPS |
|
|
Object Detection (SP)
|
100% |
372
29.5 IPS |
|
|
Object Detection (HP)
|
99% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
84% |
594
47.9 IPS |
|
|
Face Detection (SP)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (Q)
|
97% |
1954
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1869
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3341
25.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2566
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5761
7.41 IPS |
|
|
Style Transfer (HP)
|
100% |
9539
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9571
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1666
61.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1754
65.0 IPS |
|
|
Text Classification (SP)
|
35% |
44
402.0 IPS |
|
|
Text Classification (HP)
|
35% |
44
400.9 IPS |
|
|
Text Classification (Q)
|
31% |
25
370.5 IPS |
|
|
Machine Translation (SP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (HP)
|
100% |
476
8.20 IPS |
|
|
Machine Translation (Q)
|
42% |
99
6.43 IPS |
