samsung SM-X210R
Geekbench AI Score
371
Single Precision Score
602
Half Precision Score
550
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | supergordon |
| Upload Date | November 14 2025 05:04 AM |
| Views | 7 |
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% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (Q)
|
99% |
392
73.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.64 IPS |
|
|
Image Segmentation (Q)
|
98% |
560
9.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1440
1.68 IPS |
|
|
Pose Estimation (HP)
|
99% |
2305
2.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
2275
2.66 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.4 IPS |
|
|
Object Detection (HP)
|
99% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
85% |
301
24.2 IPS |
|
|
Face Detection (SP)
|
100% |
775
9.21 IPS |
|
|
Face Detection (HP)
|
100% |
1338
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
869
6.69 IPS |
|
|
Depth Estimation (HP)
|
98% |
1451
11.2 IPS |
|
|
Depth Estimation (Q)
|
65% |
1218
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1899
2.44 IPS |
|
|
Style Transfer (HP)
|
100% |
3621
4.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3450
4.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
562
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
564
20.9 IPS |
|
|
Text Classification (SP)
|
35% |
14
140.3 IPS |
|
|
Text Classification (HP)
|
35% |
24
218.8 IPS |
|
|
Text Classification (Q)
|
35% |
24
215.2 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.04 IPS |
|
|
Machine Translation (HP)
|
97% |
323
5.58 IPS |
|
|
Machine Translation (Q)
|
64% |
257
5.29 IPS |
