| User | Papst |
| Upload Date | September 05 2024 03:18 PM |
| Views | 22 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23078PND5G |
| Model ID | Xiaomi 23078PND5G |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
315
58.6 IPS |
|
|
Image Classification (Q)
|
97% |
276
51.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1166
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
700
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
1004
1.18 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (Q)
|
92% |
478
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
1860
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
2091
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
1883
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1262
9.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
1472
11.3 IPS |
|
|
Depth Estimation (Q)
|
72% |
1349
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3383
4.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4598
5.91 IPS |
|
|
Style Transfer (Q)
|
98% |
4622
5.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
745
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
749
27.8 IPS |
|
|
Text Classification (SP)
|
100% |
238
317.8 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.1 IPS |
|
|
Text Classification (Q)
|
91% |
352
473.6 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.00 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
57% |
269
6.58 IPS |