samsung SM-X520
Geekbench AI Score
1407
Single Precision Score
1400
Half Precision Score
2699
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:04 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% |
1113
207.1 IPS |
|
|
Image Classification (HP)
|
100% |
1119
208.2 IPS |
|
|
Image Classification (Q)
|
100% |
2088
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2416
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2427
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
2280
2.66 IPS |
|
|
Pose Estimation (Q)
|
84% |
5666
6.72 IPS |
|
|
Object Detection (SP)
|
98% |
969
77.1 IPS |
|
|
Object Detection (HP)
|
98% |
1022
81.3 IPS |
|
|
Object Detection (Q)
|
83% |
1808
146.1 IPS |
|
|
Face Detection (SP)
|
100% |
1551
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1538
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
4344
51.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2081
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2080
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4602
42.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5414
7.03 IPS |
|
|
Style Transfer (HP)
|
89% |
5409
7.02 IPS |
|
|
Style Transfer (Q)
|
98% |
12343
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1104
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2992
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
575
767.0 IPS |
|
|
Text Classification (HP)
|
99% |
568
758.2 IPS |
|
|
Text Classification (Q)
|
88% |
1019
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1002
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
50% |
529
18.8 IPS |
