samsung SM-X210
Geekbench AI Score
191
Single Precision Score
294
Half Precision Score
310
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | March 30 2025 11:33 AM |
| Views | 3 |
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% |
109
20.2 IPS |
|
|
Image Classification (HP)
|
100% |
181
33.7 IPS |
|
|
Image Classification (Q)
|
97% |
195
36.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.49 IPS |
|
|
Image Segmentation (HP)
|
100% |
284
4.60 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
287
0.34 IPS |
|
|
Pose Estimation (Q)
|
95% |
286
0.33 IPS |
|
|
Object Detection (SP)
|
100% |
98
7.80 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
89% |
165
13.2 IPS |
|
|
Face Detection (SP)
|
100% |
266
3.16 IPS |
|
|
Face Detection (HP)
|
100% |
496
5.90 IPS |
|
|
Face Detection (Q)
|
97% |
511
6.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
252
1.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
428
3.31 IPS |
|
|
Depth Estimation (Q)
|
62% |
351
3.32 IPS |
|
|
Style Transfer (SP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1046
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1042
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
129
4.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
220
8.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
218
8.06 IPS |
|
|
Text Classification (SP)
|
100% |
161
215.3 IPS |
|
|
Text Classification (HP)
|
100% |
162
215.8 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.5 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (Q)
|
57% |
254
6.21 IPS |
