samsung SM-X210
Geekbench AI Score
190
Single Precision Score
190
Half Precision Score
463
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | DoctorMurk |
| Upload Date | October 05 2025 11:08 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
112
20.8 IPS |
|
|
Image Classification (HP)
|
100% |
113
20.9 IPS |
|
|
Image Classification (Q)
|
99% |
303
56.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
341
5.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
197
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
196
0.23 IPS |
|
|
Pose Estimation (Q)
|
98% |
785
0.92 IPS |
|
|
Object Detection (SP)
|
100% |
110
8.71 IPS |
|
|
Object Detection (HP)
|
100% |
109
8.63 IPS |
|
|
Object Detection (Q)
|
87% |
327
26.3 IPS |
|
|
Face Detection (SP)
|
100% |
280
3.33 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
97% |
651
7.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
253
1.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
251
1.93 IPS |
|
|
Depth Estimation (Q)
|
64% |
629
5.71 IPS |
|
|
Style Transfer (SP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
425
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1240
1.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
124
4.59 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
125
4.63 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
433
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.5 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.7 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.6 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (Q)
|
57% |
253
6.18 IPS |
