samsung SM-X200
Geekbench AI Score
354
Single Precision Score
359
Half Precision Score
613
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 26 2025 07:07 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% |
172
32.1 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.0 IPS |
|
|
Image Classification (Q)
|
100% |
392
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
234
3.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
232
3.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
584
9.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
784
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
713
0.83 IPS |
|
|
Pose Estimation (Q)
|
84% |
935
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
171
13.6 IPS |
|
|
Object Detection (HP)
|
100% |
194
15.4 IPS |
|
|
Object Detection (Q)
|
83% |
454
36.7 IPS |
|
|
Face Detection (SP)
|
100% |
471
5.60 IPS |
|
|
Face Detection (HP)
|
100% |
470
5.58 IPS |
|
|
Face Detection (Q)
|
95% |
1268
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
650
5.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
597
4.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
1084
9.93 IPS |
|
|
Style Transfer (SP)
|
89% |
1339
1.74 IPS |
|
|
Style Transfer (HP)
|
89% |
1378
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
2688
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
313
11.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
668
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
176
235.0 IPS |
|
|
Text Classification (HP)
|
100% |
212
283.5 IPS |
|
|
Text Classification (Q)
|
88% |
253
340.7 IPS |
|
|
Machine Translation (SP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.22 IPS |
|
|
Machine Translation (Q)
|
50% |
125
4.45 IPS |
