samsung SM-X210R
Geekbench AI Score
364
Single Precision Score
598
Half Precision Score
550
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 06:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X210R |
| Model ID | samsung SM-X210R |
| 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 | 5.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
253
47.0 IPS |
|
|
Image Classification (HP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (Q)
|
99% |
387
72.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
597
9.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
561
9.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
1405
1.64 IPS |
|
|
Pose Estimation (HP)
|
99% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
2257
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (HP)
|
99% |
359
28.5 IPS |
|
|
Object Detection (Q)
|
85% |
340
27.4 IPS |
|
|
Face Detection (SP)
|
100% |
763
9.06 IPS |
|
|
Face Detection (HP)
|
100% |
1308
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
1150
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
857
6.60 IPS |
|
|
Depth Estimation (HP)
|
98% |
1449
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1200
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1879
2.42 IPS |
|
|
Style Transfer (HP)
|
100% |
3509
4.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3403
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
359
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
570
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
561
20.8 IPS |
|
|
Text Classification (SP)
|
35% |
14
139.0 IPS |
|
|
Text Classification (HP)
|
35% |
24
218.9 IPS |
|
|
Text Classification (Q)
|
35% |
23
208.9 IPS |
|
|
Machine Translation (SP)
|
100% |
228
3.93 IPS |
|
|
Machine Translation (HP)
|
97% |
320
5.53 IPS |
|
|
Machine Translation (Q)
|
64% |
254
5.21 IPS |
