samsung SM-X210
Geekbench AI Score
189
Single Precision Score
287
Half Precision Score
303
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 03:09 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
108
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
97% |
190
35.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
259
0.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
261
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.61 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
89% |
162
13.0 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
97% |
503
5.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
422
3.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
348
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1042
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1037
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
209
7.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
217
8.04 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.1 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.2 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (Q)
|
57% |
243
5.93 IPS |
