samsung SM-X205
Geekbench AI Score
298
Single Precision Score
298
Half Precision Score
506
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 04 2024 04:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM UNISOC |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | samsung SM-X205 |
| Model ID | samsung SM-X205 |
| 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 | 2.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.4 IPS |
|
|
Image Classification (Q)
|
100% |
454
84.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
591
9.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
643
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
653
0.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
749
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
127
10.0 IPS |
|
|
Object Detection (HP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (Q)
|
83% |
283
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
436
5.18 IPS |
|
|
Face Detection (HP)
|
100% |
385
4.58 IPS |
|
|
Face Detection (Q)
|
95% |
1038
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
482
3.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
493
3.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
850
7.78 IPS |
|
|
Style Transfer (SP)
|
89% |
1220
1.58 IPS |
|
|
Style Transfer (HP)
|
89% |
1145
1.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1631
2.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
475
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.3 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.6 IPS |
|
|
Text Classification (Q)
|
88% |
239
322.7 IPS |
|
|
Machine Translation (SP)
|
100% |
211
3.64 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.33 IPS |
|
|
Machine Translation (Q)
|
50% |
119
4.21 IPS |
