samsung SM-X210
Geekbench AI Score
369
Single Precision Score
597
Half Precision Score
551
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:35 PM |
| 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% |
256
47.6 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.7 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
375
6.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
598
9.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
557
9.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
1420
1.66 IPS |
|
|
Pose Estimation (HP)
|
99% |
2282
2.66 IPS |
|
|
Pose Estimation (Q)
|
97% |
2262
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
85% |
345
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
782
9.29 IPS |
|
|
Face Detection (HP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1174
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
871
6.71 IPS |
|
|
Depth Estimation (HP)
|
98% |
1454
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1213
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1888
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3502
4.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3417
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
567
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
546
20.2 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.7 IPS |
|
|
Text Classification (HP)
|
35% |
24
216.9 IPS |
|
|
Text Classification (Q)
|
35% |
23
213.5 IPS |
|
|
Machine Translation (SP)
|
100% |
231
3.97 IPS |
|
|
Machine Translation (HP)
|
97% |
319
5.51 IPS |
|
|
Machine Translation (Q)
|
64% |
249
5.12 IPS |
