samsung SM-X210
Geekbench AI Score
555
Single Precision Score
553
Half Precision Score
1073
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 09 2025 01:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
242
44.9 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (Q)
|
100% |
729
135.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
315
5.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
314
5.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1197
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1187
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1740
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
723
58.4 IPS |
|
|
Face Detection (SP)
|
100% |
772
9.17 IPS |
|
|
Face Detection (HP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (Q)
|
95% |
1729
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1035
7.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
1026
7.91 IPS |
|
|
Depth Estimation (Q)
|
64% |
1637
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2025
2.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2023
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4036
5.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
533
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
543
20.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1012
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
296
394.7 IPS |
|
|
Text Classification (HP)
|
100% |
293
390.6 IPS |
|
|
Text Classification (Q)
|
88% |
598
806.4 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
50% |
384
13.6 IPS |
