samsung SM-X210
Geekbench AI Score
372
Single Precision Score
603
Half Precision Score
558
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2025 02:48 AM |
| Views | 5 |
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% |
258
47.9 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.4 IPS |
|
|
Image Classification (Q)
|
99% |
393
73.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
577
9.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
1420
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2293
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2254
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
85% |
349
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
780
9.27 IPS |
|
|
Face Detection (HP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
1178
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
873
6.73 IPS |
|
|
Depth Estimation (HP)
|
98% |
1452
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1205
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1881
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3501
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3389
4.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
569
21.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
35% |
15
142.8 IPS |
|
|
Text Classification (HP)
|
35% |
25
223.5 IPS |
|
|
Text Classification (Q)
|
35% |
24
218.4 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.04 IPS |
|
|
Machine Translation (HP)
|
97% |
316
5.46 IPS |
|
|
Machine Translation (Q)
|
64% |
253
5.19 IPS |
