samsung SM-X210
Geekbench AI Score
537
Single Precision Score
538
Half Precision Score
1059
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | December 13 2025 11:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-X210 |
| Model ID | samsung SM-X210 |
| Motherboard | blair |
| Governor | walt |
| 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 | 7.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.2 IPS |
|
|
Image Classification (Q)
|
100% |
720
133.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1149
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1698
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
714
57.7 IPS |
|
|
Face Detection (SP)
|
100% |
740
8.79 IPS |
|
|
Face Detection (HP)
|
100% |
763
9.07 IPS |
|
|
Face Detection (Q)
|
95% |
1715
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
995
7.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
980
7.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
1637
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
1961
2.55 IPS |
|
|
Style Transfer (HP)
|
89% |
1955
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4090
5.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1004
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.0 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.8 IPS |
|
|
Text Classification (Q)
|
88% |
569
768.1 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
50% |
374
13.3 IPS |
