samsung SM-X200
Geekbench AI Score
273
Single Precision Score
275
Half Precision Score
459
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 31 2024 02:40 PM |
| Views | 1 |
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% |
119
22.2 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
100% |
320
59.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
444
7.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
582
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
592
0.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
757
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
126
9.99 IPS |
|
|
Object Detection (HP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (Q)
|
83% |
282
22.8 IPS |
|
|
Face Detection (SP)
|
100% |
380
4.51 IPS |
|
|
Face Detection (HP)
|
100% |
381
4.52 IPS |
|
|
Face Detection (Q)
|
95% |
1002
12.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
519
4.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
512
3.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
817
7.49 IPS |
|
|
Style Transfer (SP)
|
89% |
1199
1.56 IPS |
|
|
Style Transfer (HP)
|
89% |
1195
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1900
2.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
264
9.75 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.71 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
388
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
129
172.0 IPS |
|
|
Text Classification (HP)
|
100% |
121
161.0 IPS |
|
|
Text Classification (Q)
|
88% |
198
266.7 IPS |
|
|
Machine Translation (SP)
|
100% |
209
3.61 IPS |
|
|
Machine Translation (HP)
|
100% |
209
3.59 IPS |
|
|
Machine Translation (Q)
|
50% |
116
4.13 IPS |
