samsung SM-X200
Geekbench AI Score
279
Single Precision Score
277
Half Precision Score
497
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | eunu |
| Upload Date | August 02 2025 03:39 PM |
| Views | 11 |
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 | 3.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.7 IPS |
|
|
Image Classification (Q)
|
100% |
429
79.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
169
2.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
172
2.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
483
7.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
598
0.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
588
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
1196
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
129
10.2 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
83% |
273
22.1 IPS |
|
|
Face Detection (SP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (HP)
|
100% |
364
4.33 IPS |
|
|
Face Detection (Q)
|
95% |
957
11.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
445
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
405
3.12 IPS |
|
|
Depth Estimation (Q)
|
64% |
682
6.24 IPS |
|
|
Style Transfer (SP)
|
89% |
1160
1.51 IPS |
|
|
Style Transfer (HP)
|
89% |
1114
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
2055
2.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
245
9.06 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.32 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
509
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
146
194.9 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.3 IPS |
|
|
Text Classification (Q)
|
88% |
183
246.7 IPS |
|
|
Machine Translation (SP)
|
100% |
185
3.20 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (Q)
|
50% |
110
3.90 IPS |
