Upload Date | September 22 2025 12:46 PM |
Views | 1 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | ARM ARMv8 |
System Information | |
---|---|
Operating System | Android 16 |
Model | Xiaomi 25079RPDCC |
Model ID | Xiaomi 25079RPDCC |
Motherboard | turner |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 0 part 3461 revision 1 |
Base Frequency | 2.40 GHz |
Cluster 1 | 4 Cores @ 2.40 GHz |
Cluster 2 | 3 Cores @ 3.30 GHz |
Cluster 3 | 1 Core @ 3.73 GHz |
Memory Information | |
---|---|
Size | 15.16 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1166
216.8 IPS |
|
Image Classification (HP)
|
100% |
4754
884.0 IPS |
|
Image Classification (Q)
|
99% |
12091
2.26 KIPS |
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
Image Segmentation (HP)
|
100% |
4510
73.1 IPS |
|
Image Segmentation (Q)
|
98% |
1931
31.4 IPS |
|
Pose Estimation (SP)
|
100% |
10283
12.0 IPS |
|
Pose Estimation (HP)
|
100% |
19351
22.6 IPS |
|
Pose Estimation (Q)
|
95% |
78151
91.6 IPS |
|
Object Detection (SP)
|
100% |
722
57.3 IPS |
|
Object Detection (HP)
|
100% |
4988
395.7 IPS |
|
Object Detection (Q)
|
86% |
6250
502.7 IPS |
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
Face Detection (HP)
|
100% |
13396
159.2 IPS |
|
Face Detection (Q)
|
97% |
14094
168.1 IPS |
|
Depth Estimation (SP)
|
100% |
745
5.74 IPS |
|
Depth Estimation (HP)
|
99% |
20350
156.8 IPS |
|
Depth Estimation (Q)
|
62% |
34799
330.5 IPS |
|
Style Transfer (SP)
|
100% |
2875
3.70 IPS |
|
Style Transfer (HP)
|
100% |
60571
77.9 IPS |
|
Style Transfer (Q)
|
98% |
207794
268.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
2877
106.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
11316
417.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
34681
1.29 KIPS |
|
Text Classification (SP)
|
100% |
136
181.9 IPS |
|
Text Classification (HP)
|
100% |
2619
3.50 KIPS |
|
Text Classification (Q)
|
93% |
2507
3.37 KIPS |
|
Machine Translation (SP)
|
100% |
263
4.53 IPS |
|
Machine Translation (HP)
|
100% |
2229
38.4 IPS |
|
Machine Translation (Q)
|
60% |
473
10.6 IPS |