| Upload Date | January 21 2026 09:58 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 24117RK2CG |
| Model ID | Xiaomi 24117RK2CG |
| 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% |
2181
405.7 IPS |
|
|
Image Classification (HP)
|
100% |
2220
412.9 IPS |
|
|
Image Classification (Q)
|
100% |
3390
630.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4230
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4002
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
3907
4.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
9235
11.0 IPS |
|
|
Object Detection (SP)
|
98% |
2106
167.6 IPS |
|
|
Object Detection (HP)
|
98% |
2133
169.8 IPS |
|
|
Object Detection (Q)
|
83% |
3199
258.4 IPS |
|
|
Face Detection (SP)
|
100% |
4018
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
4124
49.0 IPS |
|
|
Face Detection (Q)
|
95% |
7305
87.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3830
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4030
31.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
7075
64.8 IPS |
|
|
Style Transfer (SP)
|
89% |
9789
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9817
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
19630
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2135
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5102
189.0 IPS |
|
|
Text Classification (SP)
|
100% |
959
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
946
1.26 KIPS |
|
|
Text Classification (Q)
|
88% |
1508
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1686
29.0 IPS |
|
|
Machine Translation (Q)
|
50% |
864
30.7 IPS |