samsung SM-X200
Geekbench AI Score
236
Single Precision Score
245
Half Precision Score
382
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 08 2025 12:46 AM |
| 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 | 2.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (Q)
|
100% |
278
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
405
6.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
546
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
561
0.65 IPS |
|
|
Pose Estimation (Q)
|
84% |
635
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.61 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.49 IPS |
|
|
Object Detection (Q)
|
83% |
252
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
343
4.07 IPS |
|
|
Face Detection (HP)
|
100% |
350
4.15 IPS |
|
|
Face Detection (Q)
|
95% |
744
8.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
383
2.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
418
3.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
629
5.76 IPS |
|
|
Style Transfer (SP)
|
89% |
1009
1.31 IPS |
|
|
Style Transfer (HP)
|
89% |
1052
1.37 IPS |
|
|
Style Transfer (Q)
|
98% |
1599
2.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.65 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
225
8.30 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
382
14.2 IPS |
|
|
Text Classification (SP)
|
100% |
101
135.0 IPS |
|
|
Text Classification (HP)
|
100% |
105
140.7 IPS |
|
|
Text Classification (Q)
|
88% |
141
190.7 IPS |
|
|
Machine Translation (SP)
|
100% |
143
2.47 IPS |
|
|
Machine Translation (HP)
|
100% |
178
3.07 IPS |
|
|
Machine Translation (Q)
|
50% |
93
3.32 IPS |
