samsung SM-X210
Geekbench AI Score
369
Single Precision Score
598
Half Precision Score
555
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 18 2025 11:41 AM |
| Views | 10 |
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% |
257
47.8 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
555
9.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
1422
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2304
2.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
2271
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
85% |
345
27.8 IPS |
|
|
Face Detection (SP)
|
100% |
777
9.23 IPS |
|
|
Face Detection (HP)
|
100% |
1322
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
1180
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
870
6.70 IPS |
|
|
Depth Estimation (HP)
|
98% |
1455
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1211
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1888
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3559
4.58 IPS |
|
|
Style Transfer (Q)
|
98% |
3460
4.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
554
20.5 IPS |
|
|
Text Classification (SP)
|
35% |
14
140.5 IPS |
|
|
Text Classification (HP)
|
35% |
24
218.3 IPS |
|
|
Text Classification (Q)
|
35% |
24
216.6 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
97% |
318
5.50 IPS |
|
|
Machine Translation (Q)
|
64% |
253
5.19 IPS |
