Upload Date | June 22 2025 04:41 AM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Xiaomi 25053PC47G |
Model ID | Xiaomi 25053PC47G |
Motherboard | sun |
Governor | walt |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
Base Frequency | 2.02 GHz |
Cluster 1 | 2 Cores @ 2.02 GHz |
Cluster 2 | 2 Cores @ 2.80 GHz |
Cluster 3 | 3 Cores @ 3.01 GHz |
Cluster 4 | 1 Core @ 3.21 GHz |
Memory Information | |
---|---|
Size | 11.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
225
41.9 IPS |
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
Image Classification (Q)
|
99% |
497
92.6 IPS |
|
Image Segmentation (SP)
|
100% |
260
4.22 IPS |
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
Image Segmentation (Q)
|
98% |
532
8.64 IPS |
|
Pose Estimation (SP)
|
100% |
369
0.43 IPS |
|
Pose Estimation (HP)
|
100% |
368
0.43 IPS |
|
Pose Estimation (Q)
|
98% |
1344
1.57 IPS |
|
Object Detection (SP)
|
100% |
201
15.9 IPS |
|
Object Detection (HP)
|
100% |
203
16.1 IPS |
|
Object Detection (Q)
|
87% |
561
45.0 IPS |
|
Face Detection (SP)
|
100% |
549
6.53 IPS |
|
Face Detection (HP)
|
100% |
528
6.28 IPS |
|
Face Detection (Q)
|
97% |
1145
13.7 IPS |
|
Depth Estimation (SP)
|
100% |
462
3.56 IPS |
|
Depth Estimation (HP)
|
99% |
465
3.58 IPS |
|
Depth Estimation (Q)
|
64% |
1024
9.30 IPS |
|
Style Transfer (SP)
|
100% |
762
0.98 IPS |
|
Style Transfer (HP)
|
100% |
762
0.98 IPS |
|
Style Transfer (Q)
|
98% |
1790
2.31 IPS |
|
Image Super-Resolution (SP)
|
100% |
265
9.80 IPS |
|
Image Super-Resolution (HP)
|
100% |
249
9.20 IPS |
|
Image Super-Resolution (Q)
|
97% |
787
29.2 IPS |
|
Text Classification (SP)
|
100% |
293
391.4 IPS |
|
Text Classification (HP)
|
100% |
292
389.8 IPS |
|
Text Classification (Q)
|
91% |
480
644.7 IPS |
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
Machine Translation (HP)
|
100% |
543
9.35 IPS |
|
Machine Translation (Q)
|
57% |
423
10.3 IPS |