samsung SM-X520
Geekbench AI Score
274
Single Precision Score
274
Half Precision Score
643
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 04:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
164
30.4 IPS |
|
|
Image Classification (HP)
|
100% |
164
30.6 IPS |
|
|
Image Classification (Q)
|
99% |
421
78.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
222
3.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
281
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
282
0.33 IPS |
|
|
Pose Estimation (Q)
|
98% |
1090
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (Q)
|
87% |
457
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
446
5.30 IPS |
|
|
Face Detection (HP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (Q)
|
97% |
944
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
360
2.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
360
2.78 IPS |
|
|
Depth Estimation (Q)
|
64% |
882
8.00 IPS |
|
|
Style Transfer (SP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (HP)
|
100% |
622
0.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1837
2.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
176
6.48 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.48 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
641
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.8 IPS |
|
|
Text Classification (HP)
|
100% |
226
302.1 IPS |
|
|
Text Classification (Q)
|
91% |
392
527.1 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
57% |
328
8.02 IPS |
