samsung SM-X520
Geekbench AI Score
1403
Single Precision Score
1389
Half Precision Score
2724
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 03:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1128
209.7 IPS |
|
|
Image Classification (HP)
|
100% |
1157
215.3 IPS |
|
|
Image Classification (Q)
|
100% |
2154
400.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1038
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2456
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
5671
6.73 IPS |
|
|
Object Detection (SP)
|
98% |
1002
79.7 IPS |
|
|
Object Detection (HP)
|
98% |
1003
79.8 IPS |
|
|
Object Detection (Q)
|
83% |
1793
144.8 IPS |
|
|
Face Detection (SP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
4362
52.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
2088
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2057
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4595
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5405
7.02 IPS |
|
|
Style Transfer (HP)
|
89% |
5347
6.94 IPS |
|
|
Style Transfer (Q)
|
98% |
12292
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3000
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
548
732.1 IPS |
|
|
Text Classification (HP)
|
99% |
556
742.6 IPS |
|
|
Text Classification (Q)
|
88% |
1070
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
966
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
529
18.8 IPS |
