samsung SM-X520
Geekbench AI Score
748
Single Precision Score
1230
Half Precision Score
926
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 02:47 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% |
429
79.7 IPS |
|
|
Image Classification (HP)
|
100% |
708
131.7 IPS |
|
|
Image Classification (Q)
|
100% |
633
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2892
3.37 IPS |
|
|
Pose Estimation (HP)
|
99% |
6124
7.15 IPS |
|
|
Pose Estimation (Q)
|
95% |
6053
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
355
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
84% |
612
49.4 IPS |
|
|
Face Detection (SP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
1918
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1865
14.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3342
25.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
2507
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5770
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
9595
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9644
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1705
63.2 IPS |
|
|
Text Classification (SP)
|
35% |
34
305.0 IPS |
|
|
Text Classification (HP)
|
35% |
44
395.6 IPS |
|
|
Text Classification (Q)
|
31% |
25
376.9 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.10 IPS |
|
|
Machine Translation (Q)
|
42% |
98
6.38 IPS |
