samsung SM-X200
Geekbench AI Score
297
Single Precision Score
310
Half Precision Score
537
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 12:44 PM |
| Views | 4 |
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% |
139
25.8 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.7 IPS |
|
|
Image Classification (Q)
|
100% |
439
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
167
2.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
543
8.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
743
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
738
0.86 IPS |
|
|
Pose Estimation (Q)
|
84% |
784
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
83% |
388
31.3 IPS |
|
|
Face Detection (SP)
|
100% |
399
4.75 IPS |
|
|
Face Detection (HP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (Q)
|
95% |
1219
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
490
3.78 IPS |
|
|
Depth Estimation (HP)
|
99% |
531
4.09 IPS |
|
|
Depth Estimation (Q)
|
64% |
973
8.91 IPS |
|
|
Style Transfer (SP)
|
89% |
1353
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1387
1.80 IPS |
|
|
Style Transfer (Q)
|
98% |
1721
2.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
286
10.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
539
20.0 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.4 IPS |
|
|
Text Classification (HP)
|
100% |
126
168.7 IPS |
|
|
Text Classification (Q)
|
88% |
230
310.0 IPS |
|
|
Machine Translation (SP)
|
100% |
189
3.25 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
50% |
110
3.92 IPS |
