samsung SM-X210R
Geekbench AI Score
194
Single Precision Score
194
Half Precision Score
588
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | supergordon |
| Upload Date | November 14 2025 06:33 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
113
21.1 IPS |
|
|
Image Classification (HP)
|
100% |
114
21.1 IPS |
|
|
Image Classification (Q)
|
96% |
614
114.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
863
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
208
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
5078
5.95 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.94 IPS |
|
|
Object Detection (Q)
|
84% |
735
59.3 IPS |
|
|
Face Detection (SP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (HP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (Q)
|
97% |
1429
17.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
251
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
252
1.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
2870
26.4 IPS |
|
|
Style Transfer (SP)
|
100% |
432
0.56 IPS |
|
|
Style Transfer (HP)
|
100% |
436
0.56 IPS |
|
|
Style Transfer (Q)
|
98% |
8245
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.64 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
126
4.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
431
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
166
222.1 IPS |
|
|
Text Classification (HP)
|
100% |
166
222.1 IPS |
|
|
Text Classification (Q)
|
93% |
172
231.2 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.90 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.57 IPS |
