| Upload Date | November 13 2025 01:29 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 24117RK2CC |
| Model ID | Xiaomi 24117RK2CC |
| Motherboard | zorn |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.84 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1090
202.6 IPS |
|
|
Image Classification (HP)
|
100% |
1995
371.0 IPS |
|
|
Image Classification (Q)
|
100% |
1874
348.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3467
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4078
4.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3810
4.45 IPS |
|
|
Pose Estimation (Q)
|
84% |
8778
10.4 IPS |
|
|
Object Detection (SP)
|
98% |
1998
159.0 IPS |
|
|
Object Detection (HP)
|
98% |
2028
161.3 IPS |
|
|
Object Detection (Q)
|
83% |
2901
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
3931
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
3920
46.6 IPS |
|
|
Face Detection (Q)
|
95% |
6488
77.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
4078
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3997
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
6570
60.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9557
12.4 IPS |
|
|
Style Transfer (HP)
|
89% |
9196
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16845
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1814
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4218
156.3 IPS |
|
|
Text Classification (SP)
|
100% |
767
1.02 KIPS |
|
|
Text Classification (HP)
|
99% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
88% |
1161
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
50% |
723
25.7 IPS |