samsung SM-X200
Geekbench AI Score
263
Single Precision Score
253
Half Precision Score
431
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 16 2025 03:21 PM |
| Views | 2 |
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% |
130
24.2 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.4 IPS |
|
|
Image Classification (Q)
|
100% |
258
48.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
460
7.48 IPS |
|
|
Pose Estimation (SP)
|
100% |
567
0.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
1088
1.29 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.51 IPS |
|
|
Object Detection (HP)
|
100% |
111
8.81 IPS |
|
|
Object Detection (Q)
|
83% |
271
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
344
4.08 IPS |
|
|
Face Detection (Q)
|
95% |
812
9.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
440
3.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
435
3.35 IPS |
|
|
Depth Estimation (Q)
|
64% |
672
6.15 IPS |
|
|
Style Transfer (SP)
|
89% |
1062
1.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1091
1.42 IPS |
|
|
Style Transfer (Q)
|
98% |
2032
2.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
244
9.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
259
9.55 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
341
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.5 IPS |
|
|
Text Classification (HP)
|
100% |
136
182.0 IPS |
|
|
Text Classification (Q)
|
88% |
176
237.2 IPS |
|
|
Machine Translation (SP)
|
100% |
195
3.37 IPS |
|
|
Machine Translation (HP)
|
100% |
180
3.10 IPS |
|
|
Machine Translation (Q)
|
50% |
97
3.43 IPS |
