samsung SM-X210
Geekbench AI Score
190
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 10 2025 12:45 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% |
107
20.0 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
97% |
189
35.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
281
4.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
277
4.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
214
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
260
0.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
259
0.30 IPS |
|
|
Object Detection (SP)
|
100% |
96
7.64 IPS |
|
|
Object Detection (HP)
|
100% |
147
11.7 IPS |
|
|
Object Detection (Q)
|
89% |
163
13.0 IPS |
|
|
Face Detection (SP)
|
100% |
264
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
490
5.82 IPS |
|
|
Face Detection (Q)
|
97% |
502
5.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
245
1.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
423
3.27 IPS |
|
|
Depth Estimation (Q)
|
62% |
348
3.29 IPS |
|
|
Style Transfer (SP)
|
100% |
485
0.62 IPS |
|
|
Style Transfer (HP)
|
100% |
1049
1.35 IPS |
|
|
Style Transfer (Q)
|
98% |
1044
1.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
128
4.73 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
208
7.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
216
8.01 IPS |
|
|
Text Classification (SP)
|
100% |
163
216.9 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.5 IPS |
|
|
Text Classification (Q)
|
91% |
311
417.9 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (Q)
|
57% |
241
5.90 IPS |
