samsung SM-X200
Geekbench AI Score
319
Single Precision Score
316
Half Precision Score
602
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | GelbEinhalb |
| Upload Date | December 13 2024 06:28 PM |
| Views | 6 |
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
31.9 IPS |
|
|
Image Classification (HP)
|
100% |
168
31.2 IPS |
|
|
Image Classification (Q)
|
100% |
485
90.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
204
3.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
615
10.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
736
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
694
0.81 IPS |
|
|
Pose Estimation (Q)
|
84% |
935
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
123
9.75 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.26 IPS |
|
|
Object Detection (Q)
|
83% |
369
29.8 IPS |
|
|
Face Detection (SP)
|
100% |
452
5.37 IPS |
|
|
Face Detection (HP)
|
100% |
442
5.25 IPS |
|
|
Face Detection (Q)
|
95% |
1112
13.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
502
3.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
544
4.19 IPS |
|
|
Depth Estimation (Q)
|
64% |
1028
9.42 IPS |
|
|
Style Transfer (SP)
|
89% |
1340
1.74 IPS |
|
|
Style Transfer (HP)
|
89% |
1293
1.68 IPS |
|
|
Style Transfer (Q)
|
98% |
2447
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
302
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
685
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (HP)
|
100% |
174
231.8 IPS |
|
|
Text Classification (Q)
|
88% |
231
312.1 IPS |
|
|
Machine Translation (SP)
|
100% |
220
3.78 IPS |
|
|
Machine Translation (HP)
|
100% |
242
4.17 IPS |
|
|
Machine Translation (Q)
|
50% |
138
4.90 IPS |
