samsung SM-X210
Geekbench AI Score
190
Single Precision Score
191
Half Precision Score
616
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | October 05 2025 10:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
113
20.9 IPS |
|
|
Image Classification (Q)
|
96% |
668
124.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
864
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
195
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
198
0.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
5120
6.00 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.65 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.66 IPS |
|
|
Object Detection (Q)
|
84% |
802
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (HP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (Q)
|
97% |
1468
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
245
1.89 IPS |
|
|
Depth Estimation (Q)
|
64% |
3006
27.6 IPS |
|
|
Style Transfer (SP)
|
100% |
427
0.55 IPS |
|
|
Style Transfer (HP)
|
100% |
430
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
8323
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
433
16.1 IPS |
|
|
Text Classification (SP)
|
100% |
165
220.5 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.0 IPS |
|
|
Text Classification (Q)
|
93% |
212
284.6 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (HP)
|
100% |
283
4.87 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.67 IPS |
