samsung SM-X205
Geekbench AI Score
324
Single Precision Score
339
Half Precision Score
519
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 09:27 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% |
151
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
192
35.7 IPS |
|
|
Image Classification (Q)
|
100% |
367
68.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
586
9.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
672
0.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
752
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
164
13.0 IPS |
|
|
Object Detection (Q)
|
83% |
435
35.2 IPS |
|
|
Face Detection (SP)
|
100% |
473
5.62 IPS |
|
|
Face Detection (HP)
|
100% |
437
5.20 IPS |
|
|
Face Detection (Q)
|
95% |
757
9.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
592
4.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
584
4.50 IPS |
|
|
Depth Estimation (Q)
|
64% |
713
6.53 IPS |
|
|
Style Transfer (SP)
|
89% |
1439
1.87 IPS |
|
|
Style Transfer (HP)
|
89% |
1391
1.81 IPS |
|
|
Style Transfer (Q)
|
98% |
1991
2.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
272
10.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
308
11.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
656
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
190
252.9 IPS |
|
|
Text Classification (HP)
|
100% |
210
280.0 IPS |
|
|
Text Classification (Q)
|
88% |
194
261.6 IPS |
|
|
Machine Translation (SP)
|
100% |
217
3.73 IPS |
|
|
Machine Translation (HP)
|
100% |
227
3.92 IPS |
|
|
Machine Translation (Q)
|
50% |
149
5.28 IPS |
