samsung SM-X210
Geekbench AI Score
365
Single Precision Score
606
Half Precision Score
555
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | October 05 2025 11:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
254
47.2 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.6 IPS |
|
|
Image Classification (Q)
|
99% |
381
71.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
365
5.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
566
9.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1404
1.64 IPS |
|
|
Pose Estimation (HP)
|
99% |
2306
2.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
2270
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
85% |
339
27.2 IPS |
|
|
Face Detection (SP)
|
100% |
770
9.15 IPS |
|
|
Face Detection (HP)
|
100% |
1339
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1167
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.56 IPS |
|
|
Depth Estimation (HP)
|
98% |
1439
11.1 IPS |
|
|
Depth Estimation (Q)
|
65% |
1204
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1893
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3525
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3328
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
354
13.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
564
20.9 IPS |
|
|
Text Classification (SP)
|
35% |
14
140.5 IPS |
|
|
Text Classification (HP)
|
35% |
25
223.5 IPS |
|
|
Text Classification (Q)
|
35% |
24
218.3 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
97% |
334
5.78 IPS |
|
|
Machine Translation (Q)
|
64% |
268
5.51 IPS |
