samsung SM-X210
Geekbench AI Score
368
Single Precision Score
598
Half Precision Score
547
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 11 2025 03:30 AM |
| Views | 2 |
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% |
255
47.5 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (Q)
|
99% |
389
72.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.96 IPS |
|
|
Pose Estimation (SP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2295
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2260
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
229
18.1 IPS |
|
|
Object Detection (HP)
|
99% |
350
27.8 IPS |
|
|
Object Detection (Q)
|
85% |
345
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
1333
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1179
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
872
6.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1453
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1205
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1879
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3599
4.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3317
4.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
548
20.3 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.6 IPS |
|
|
Text Classification (HP)
|
35% |
24
217.1 IPS |
|
|
Text Classification (Q)
|
35% |
23
211.8 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (HP)
|
97% |
320
5.54 IPS |
|
|
Machine Translation (Q)
|
64% |
244
5.02 IPS |
