samsung SM-X520
Geekbench AI Score
1401
Single Precision Score
1393
Half Precision Score
2696
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:00 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% |
1152
214.3 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (Q)
|
100% |
2168
403.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2432
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
5663
6.72 IPS |
|
|
Object Detection (SP)
|
98% |
974
77.5 IPS |
|
|
Object Detection (HP)
|
98% |
1025
81.6 IPS |
|
|
Object Detection (Q)
|
83% |
1807
145.9 IPS |
|
|
Face Detection (SP)
|
100% |
1523
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
4458
53.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2127
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2074
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
4623
42.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5393
7.00 IPS |
|
|
Style Transfer (HP)
|
89% |
5420
7.04 IPS |
|
|
Style Transfer (Q)
|
98% |
12327
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1084
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1092
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2957
109.6 IPS |
|
|
Text Classification (SP)
|
100% |
541
722.5 IPS |
|
|
Text Classification (HP)
|
99% |
541
722.3 IPS |
|
|
Text Classification (Q)
|
88% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
955
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
524
18.6 IPS |
