User | DemonShell |
Upload Date | February 28 2025 03:30 PM |
Views | 2 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | GPU |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Xiaomi 24018RPACG |
Model ID | Xiaomi 24018RPACG |
Motherboard | kalama |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
Base Frequency | 2.02 GHz |
Cluster 1 | 3 Cores @ 2.02 GHz |
Cluster 2 | 4 Cores @ 2.80 GHz |
Cluster 3 | 1 Core @ 3.19 GHz |
Memory Information | |
---|---|
Size | 11.19 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
510
94.8 IPS |
|
Image Classification (HP)
|
100% |
881
163.9 IPS |
|
Image Classification (Q)
|
96% |
840
156.9 IPS |
|
Image Segmentation (SP)
|
100% |
1053
17.1 IPS |
|
Image Segmentation (HP)
|
100% |
1665
27.0 IPS |
|
Image Segmentation (Q)
|
98% |
1596
26.0 IPS |
|
Pose Estimation (SP)
|
100% |
732
0.85 IPS |
|
Pose Estimation (HP)
|
100% |
1099
1.28 IPS |
|
Pose Estimation (Q)
|
96% |
1086
1.27 IPS |
|
Object Detection (SP)
|
100% |
386
30.6 IPS |
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
Object Detection (Q)
|
87% |
684
54.9 IPS |
|
Face Detection (SP)
|
100% |
1856
22.1 IPS |
|
Face Detection (HP)
|
100% |
3063
36.4 IPS |
|
Face Detection (Q)
|
97% |
2815
33.6 IPS |
|
Depth Estimation (SP)
|
100% |
1156
8.91 IPS |
|
Depth Estimation (HP)
|
99% |
2120
16.4 IPS |
|
Depth Estimation (Q)
|
63% |
1834
17.0 IPS |
|
Style Transfer (SP)
|
100% |
2907
3.74 IPS |
|
Style Transfer (HP)
|
100% |
6730
8.65 IPS |
|
Style Transfer (Q)
|
98% |
6695
8.63 IPS |
|
Image Super-Resolution (SP)
|
100% |
361
13.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
251
9.25 IPS |
|
Image Super-Resolution (Q)
|
97% |
251
9.31 IPS |
|
Text Classification (SP)
|
100% |
225
300.3 IPS |
|
Text Classification (HP)
|
100% |
225
299.7 IPS |
|
Text Classification (Q)
|
91% |
374
502.6 IPS |
|
Machine Translation (SP)
|
100% |
397
6.83 IPS |
|
Machine Translation (HP)
|
100% |
399
6.87 IPS |
|
Machine Translation (Q)
|
57% |
337
8.24 IPS |