samsung SM-X520
Geekbench AI Score
1062
Single Precision Score
967
Half Precision Score
1720
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 14 2025 09:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
975
181.3 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
100% |
898
167.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
489
7.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
875
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2084
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (Q)
|
84% |
5169
6.13 IPS |
|
|
Object Detection (SP)
|
98% |
876
69.7 IPS |
|
|
Object Detection (HP)
|
98% |
926
73.7 IPS |
|
|
Object Detection (Q)
|
83% |
1645
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
803
9.54 IPS |
|
|
Face Detection (HP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (Q)
|
95% |
3923
46.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1903
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1904
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4252
38.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5021
6.52 IPS |
|
|
Style Transfer (HP)
|
89% |
2742
3.56 IPS |
|
|
Style Transfer (Q)
|
98% |
11327
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1284
47.6 IPS |
|
|
Text Classification (SP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (HP)
|
99% |
260
347.7 IPS |
|
|
Text Classification (Q)
|
88% |
436
588.7 IPS |
|
|
Machine Translation (SP)
|
100% |
970
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
322
11.4 IPS |
