samsung SM-X526B
Geekbench AI Score
556
Single Precision Score
824
Half Precision Score
641
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 16 2025 11:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
430
79.9 IPS |
|
|
Image Classification (HP)
|
100% |
613
114.0 IPS |
|
|
Image Classification (Q)
|
100% |
543
100.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
683
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1085
17.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2660
3.10 IPS |
|
|
Pose Estimation (HP)
|
99% |
2654
3.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
2666
3.12 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
99% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
84% |
326
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
894
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1525
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1253
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1165
8.97 IPS |
|
|
Depth Estimation (HP)
|
98% |
2238
17.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
1697
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3772
4.85 IPS |
|
|
Style Transfer (HP)
|
100% |
5918
7.61 IPS |
|
|
Style Transfer (Q)
|
98% |
5906
7.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
700
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1324
49.1 IPS |
|
|
Text Classification (SP)
|
35% |
21
188.5 IPS |
|
|
Text Classification (HP)
|
35% |
27
241.3 IPS |
|
|
Text Classification (Q)
|
31% |
18
263.8 IPS |
|
|
Machine Translation (SP)
|
100% |
347
5.97 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (Q)
|
42% |
77
5.01 IPS |
