samsung SM-X210
Geekbench AI Score
188
Single Precision Score
287
Half Precision Score
301
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 08:11 PM |
| 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% |
106
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
173
32.3 IPS |
|
|
Image Classification (Q)
|
97% |
187
34.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
278
4.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
275
4.47 IPS |
|
|
Pose Estimation (SP)
|
100% |
215
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
266
0.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
265
0.31 IPS |
|
|
Object Detection (SP)
|
100% |
95
7.53 IPS |
|
|
Object Detection (HP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (Q)
|
89% |
160
12.8 IPS |
|
|
Face Detection (SP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (HP)
|
100% |
483
5.74 IPS |
|
|
Face Detection (Q)
|
97% |
496
5.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
244
1.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
428
3.31 IPS |
|
|
Depth Estimation (Q)
|
62% |
350
3.31 IPS |
|
|
Style Transfer (SP)
|
100% |
488
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
1041
1.34 IPS |
|
|
Style Transfer (Q)
|
98% |
1037
1.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
126
4.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
216
7.97 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
213
7.91 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.1 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.7 IPS |
|
|
Text Classification (Q)
|
91% |
309
415.6 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
279
4.80 IPS |
|
|
Machine Translation (Q)
|
57% |
240
5.86 IPS |
