samsung SM-X528U
Geekbench AI Score
745
Single Precision Score
1235
Half Precision Score
928
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | Martythebrit |
| Upload Date | February 19 2026 11:04 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X528U |
| Model ID | samsung SM-X528U |
| 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% |
421
78.2 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
100% |
640
118.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1031
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
6171
7.20 IPS |
|
|
Pose Estimation (Q)
|
95% |
6041
7.08 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
651
51.7 IPS |
|
|
Object Detection (Q)
|
84% |
597
48.2 IPS |
|
|
Face Detection (SP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (Q)
|
97% |
1921
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1883
14.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3397
26.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2561
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5905
7.59 IPS |
|
|
Style Transfer (HP)
|
100% |
9575
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9601
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1778
65.9 IPS |
|
|
Text Classification (SP)
|
35% |
35
316.3 IPS |
|
|
Text Classification (HP)
|
35% |
45
406.3 IPS |
|
|
Text Classification (Q)
|
31% |
25
372.4 IPS |
|
|
Machine Translation (SP)
|
100% |
371
6.39 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (Q)
|
42% |
95
6.13 IPS |
