samsung SM-X520
Geekbench AI Score
1480
Single Precision Score
1491
Half Precision Score
3015
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 17 2025 02:14 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% |
1096
203.9 IPS |
|
|
Image Classification (HP)
|
100% |
1195
222.2 IPS |
|
|
Image Classification (Q)
|
100% |
2227
414.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1052
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2469
40.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2470
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2490
2.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
6354
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1113
88.5 IPS |
|
|
Object Detection (HP)
|
98% |
1070
85.1 IPS |
|
|
Object Detection (Q)
|
83% |
2098
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
1581
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
4713
56.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2176
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2228
17.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5336
48.9 IPS |
|
|
Style Transfer (SP)
|
89% |
5871
7.62 IPS |
|
|
Style Transfer (HP)
|
89% |
5853
7.60 IPS |
|
|
Style Transfer (Q)
|
98% |
14133
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1168
43.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3451
127.9 IPS |
|
|
Text Classification (SP)
|
100% |
636
849.0 IPS |
|
|
Text Classification (HP)
|
99% |
630
840.9 IPS |
|
|
Text Classification (Q)
|
88% |
1147
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1086
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (Q)
|
50% |
603
21.4 IPS |
