samsung SM-X210
Geekbench AI Score
369
Single Precision Score
597
Half Precision Score
553
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 28 2025 01:54 AM |
| Views | 8 |
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% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
99% |
390
72.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
551
8.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
99% |
2288
2.67 IPS |
|
|
Pose Estimation (Q)
|
97% |
2260
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
99% |
350
27.7 IPS |
|
|
Object Detection (Q)
|
85% |
345
27.7 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (HP)
|
100% |
1341
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1179
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
870
6.70 IPS |
|
|
Depth Estimation (HP)
|
98% |
1449
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1207
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1888
2.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3510
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3417
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
550
20.4 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.7 IPS |
|
|
Text Classification (HP)
|
35% |
24
218.1 IPS |
|
|
Text Classification (Q)
|
35% |
24
214.2 IPS |
|
|
Machine Translation (SP)
|
100% |
234
4.03 IPS |
|
|
Machine Translation (HP)
|
97% |
317
5.48 IPS |
|
|
Machine Translation (Q)
|
64% |
249
5.11 IPS |
