samsung SM-X526B
Geekbench AI Score
271
Single Precision Score
270
Half Precision Score
634
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 16 2026 06:41 AM |
| Views | 2 |
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% |
159
29.5 IPS |
|
|
Image Classification (HP)
|
100% |
157
29.2 IPS |
|
|
Image Classification (Q)
|
99% |
420
78.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
275
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
262
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1089
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.7 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
87% |
456
36.6 IPS |
|
|
Face Detection (SP)
|
100% |
441
5.24 IPS |
|
|
Face Detection (HP)
|
100% |
444
5.28 IPS |
|
|
Face Detection (Q)
|
97% |
943
11.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
359
2.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
358
2.76 IPS |
|
|
Depth Estimation (Q)
|
64% |
860
7.81 IPS |
|
|
Style Transfer (SP)
|
100% |
615
0.79 IPS |
|
|
Style Transfer (HP)
|
100% |
614
0.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1759
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.43 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
175
6.45 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
610
22.6 IPS |
|
|
Text Classification (SP)
|
100% |
224
299.3 IPS |
|
|
Text Classification (HP)
|
100% |
227
302.6 IPS |
|
|
Text Classification (Q)
|
91% |
389
522.3 IPS |
|
|
Machine Translation (SP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.45 IPS |
|
|
Machine Translation (Q)
|
57% |
327
7.99 IPS |
