samsung SM-X526B
Geekbench AI Score
247
Single Precision Score
239
Half Precision Score
560
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 17 2025 12:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X526B |
| Model ID | samsung SM-X526B |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
99% |
404
75.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
271
4.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
227
0.27 IPS |
|
|
Pose Estimation (Q)
|
98% |
914
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
139
11.0 IPS |
|
|
Object Detection (HP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (Q)
|
87% |
383
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
351
4.17 IPS |
|
|
Face Detection (HP)
|
100% |
348
4.13 IPS |
|
|
Face Detection (Q)
|
97% |
762
9.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
291
2.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
332
2.56 IPS |
|
|
Depth Estimation (Q)
|
64% |
847
7.69 IPS |
|
|
Style Transfer (SP)
|
100% |
597
0.77 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1733
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
173
6.38 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
591
21.9 IPS |
|
|
Text Classification (SP)
|
100% |
215
287.3 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.5 IPS |
|
|
Text Classification (Q)
|
91% |
377
506.3 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
57% |
318
7.78 IPS |
