samsung SM-X210
Geekbench AI Score
539
Single Precision Score
535
Half Precision Score
1043
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:28 PM |
| Views | 2 |
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% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
100% |
725
134.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
831
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1155
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1131
1.32 IPS |
|
|
Pose Estimation (Q)
|
84% |
1666
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
83% |
718
58.0 IPS |
|
|
Face Detection (SP)
|
100% |
769
9.14 IPS |
|
|
Face Detection (HP)
|
100% |
751
8.92 IPS |
|
|
Face Detection (Q)
|
95% |
1640
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
1012
7.79 IPS |
|
|
Depth Estimation (Q)
|
64% |
1536
14.1 IPS |
|
|
Style Transfer (SP)
|
89% |
1975
2.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1953
2.53 IPS |
|
|
Style Transfer (Q)
|
98% |
3913
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
526
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
998
37.0 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.7 IPS |
|
|
Text Classification (HP)
|
100% |
289
385.7 IPS |
|
|
Text Classification (Q)
|
88% |
590
795.2 IPS |
|
|
Machine Translation (SP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.07 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
