samsung SM-X526B
Geekbench AI Score
756
Single Precision Score
1108
Half Precision Score
860
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 23 2025 10:41 AM |
| Views | 3 |
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% |
504
93.8 IPS |
|
|
Image Classification (HP)
|
100% |
466
86.7 IPS |
|
|
Image Classification (Q)
|
100% |
491
91.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
999
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3108
3.63 IPS |
|
|
Pose Estimation (HP)
|
99% |
6249
7.29 IPS |
|
|
Pose Estimation (Q)
|
95% |
6164
7.22 IPS |
|
|
Object Detection (SP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (HP)
|
99% |
649
51.4 IPS |
|
|
Object Detection (Q)
|
84% |
646
52.1 IPS |
|
|
Face Detection (SP)
|
100% |
1492
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (Q)
|
97% |
2264
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1980
15.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3438
26.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2593
25.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5982
7.69 IPS |
|
|
Style Transfer (HP)
|
100% |
9337
12.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9401
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1777
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1742
64.6 IPS |
|
|
Text Classification (SP)
|
35% |
24
221.1 IPS |
|
|
Text Classification (HP)
|
35% |
26
233.2 IPS |
|
|
Text Classification (Q)
|
31% |
16
237.0 IPS |
|
|
Machine Translation (SP)
|
100% |
342
5.89 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.68 IPS |
|
|
Machine Translation (Q)
|
42% |
74
4.78 IPS |
