samsung SM-X200
Geekbench AI Score
312
Single Precision Score
301
Half Precision Score
511
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 04:00 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% |
175
32.6 IPS |
|
|
Image Classification (HP)
|
100% |
170
31.6 IPS |
|
|
Image Classification (Q)
|
100% |
415
77.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
548
8.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
614
0.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
582
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
148
11.7 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (Q)
|
83% |
368
29.7 IPS |
|
|
Face Detection (SP)
|
100% |
402
4.78 IPS |
|
|
Face Detection (HP)
|
100% |
407
4.84 IPS |
|
|
Face Detection (Q)
|
95% |
1011
12.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
487
3.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
499
3.85 IPS |
|
|
Depth Estimation (Q)
|
64% |
1014
9.28 IPS |
|
|
Style Transfer (SP)
|
89% |
1199
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1281
1.66 IPS |
|
|
Style Transfer (Q)
|
98% |
1681
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
283
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
258
9.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
594
22.0 IPS |
|
|
Text Classification (SP)
|
100% |
183
244.6 IPS |
|
|
Text Classification (HP)
|
100% |
180
240.8 IPS |
|
|
Text Classification (Q)
|
88% |
221
297.6 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.75 IPS |
|
|
Machine Translation (HP)
|
100% |
205
3.54 IPS |
|
|
Machine Translation (Q)
|
50% |
111
3.94 IPS |
