| Upload Date | November 10 2025 01:48 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24095PCADG |
| Model ID | Xiaomi 24095PCADG |
| Motherboard | malachite |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 11.16 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
100% |
1106
205.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1706
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1944
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2010
2.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
3878
4.60 IPS |
|
|
Object Detection (SP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (HP)
|
100% |
421
33.4 IPS |
|
|
Object Detection (Q)
|
83% |
1401
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
866
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1029
12.2 IPS |
|
|
Face Detection (Q)
|
95% |
3476
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1467
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3500
32.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3685
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3681
4.78 IPS |
|
|
Style Transfer (Q)
|
98% |
8788
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
848
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
846
31.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2087
77.3 IPS |
|
|
Text Classification (SP)
|
100% |
513
685.0 IPS |
|
|
Text Classification (HP)
|
100% |
508
678.0 IPS |
|
|
Text Classification (Q)
|
88% |
959
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
477
16.9 IPS |