samsung SM-X520
Geekbench AI Score
1465
Single Precision Score
1461
Half Precision Score
2924
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 22 2025 07:38 PM |
| Views | 1 |
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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1157
215.1 IPS |
|
|
Image Classification (HP)
|
100% |
1171
217.7 IPS |
|
|
Image Classification (Q)
|
100% |
2188
406.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1060
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2449
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2438
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2503
2.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
6385
7.57 IPS |
|
|
Object Detection (SP)
|
98% |
1115
88.8 IPS |
|
|
Object Detection (HP)
|
98% |
1022
81.4 IPS |
|
|
Object Detection (Q)
|
83% |
1800
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
4410
52.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2044
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5274
48.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5671
7.36 IPS |
|
|
Style Transfer (HP)
|
89% |
5674
7.37 IPS |
|
|
Style Transfer (Q)
|
98% |
14100
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1078
39.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1099
40.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3440
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
636
848.8 IPS |
|
|
Text Classification (HP)
|
99% |
639
852.7 IPS |
|
|
Text Classification (Q)
|
88% |
1124
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1115
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1098
18.9 IPS |
|
|
Machine Translation (Q)
|
50% |
587
20.9 IPS |
