samsung SM-X210
Geekbench AI Score
190
Single Precision Score
289
Half Precision Score
303
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2025 02:51 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% |
107
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
97% |
189
35.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
277
4.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
268
0.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
265
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.60 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
89% |
162
13.0 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.14 IPS |
|
|
Face Detection (HP)
|
100% |
488
5.80 IPS |
|
|
Face Detection (Q)
|
97% |
504
6.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
250
1.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
421
3.25 IPS |
|
|
Depth Estimation (Q)
|
62% |
346
3.28 IPS |
|
|
Style Transfer (SP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1050
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1043
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
219
8.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
217
8.05 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.7 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.5 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.6 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.83 IPS |
|
|
Machine Translation (Q)
|
57% |
244
5.96 IPS |
