samsung SM-X200
Geekbench AI Score
328
Single Precision Score
326
Half Precision Score
578
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 10 2025 04:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM UNISOC |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X200 |
| Model ID | samsung SM-X200 |
| Motherboard | ums512_25c10 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM UNISOC |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 2.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
388
72.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
606
9.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
647
0.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
965
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
83% |
380
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
430
5.11 IPS |
|
|
Face Detection (HP)
|
100% |
393
4.67 IPS |
|
|
Face Detection (Q)
|
95% |
1030
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
556
4.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
575
4.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
977
8.95 IPS |
|
|
Style Transfer (SP)
|
89% |
1458
1.89 IPS |
|
|
Style Transfer (HP)
|
89% |
1272
1.65 IPS |
|
|
Style Transfer (Q)
|
98% |
2286
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
687
25.5 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (Q)
|
88% |
225
302.8 IPS |
|
|
Machine Translation (SP)
|
100% |
235
4.05 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.89 IPS |
