Upload Date | July 13 2025 02:55 PM |
Views | 2 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | Qualcomm ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | LENOVO TB322FC |
Model ID | LENOVO TB322FC |
Motherboard | sun |
Governor | walt |
CPU Information | |
---|---|
Name | Qualcomm ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
Base Frequency | 3.53 GHz |
Cluster 1 | 6 Cores @ 3.53 GHz |
Cluster 2 | 2 Cores @ 4.32 GHz |
Memory Information | |
---|---|
Size | 14.80 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
2260
420.3 IPS |
|
Image Classification (HP)
|
100% |
2276
423.3 IPS |
|
Image Classification (Q)
|
100% |
4759
885.1 IPS |
|
Image Segmentation (SP)
|
100% |
2613
42.4 IPS |
|
Image Segmentation (HP)
|
100% |
2622
42.5 IPS |
|
Image Segmentation (Q)
|
98% |
5916
96.2 IPS |
|
Pose Estimation (SP)
|
100% |
5734
6.69 IPS |
|
Pose Estimation (HP)
|
100% |
5666
6.61 IPS |
|
Pose Estimation (Q)
|
84% |
14374
17.0 IPS |
|
Object Detection (SP)
|
98% |
1811
144.2 IPS |
|
Object Detection (HP)
|
98% |
1904
151.5 IPS |
|
Object Detection (Q)
|
83% |
4332
349.9 IPS |
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
Face Detection (HP)
|
100% |
4797
57.0 IPS |
|
Face Detection (Q)
|
95% |
10828
129.3 IPS |
|
Depth Estimation (SP)
|
99% |
5046
39.0 IPS |
|
Depth Estimation (HP)
|
99% |
5082
39.3 IPS |
|
Depth Estimation (Q)
|
64% |
11563
105.9 IPS |
|
Style Transfer (SP)
|
89% |
12435
16.1 IPS |
|
Style Transfer (HP)
|
89% |
12383
16.1 IPS |
|
Style Transfer (Q)
|
98% |
27132
35.0 IPS |
|
Image Super-Resolution (SP)
|
100% |
2577
95.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
2676
98.8 IPS |
|
Image Super-Resolution (Q)
|
97% |
7185
266.2 IPS |
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
Text Classification (HP)
|
99% |
1070
1.43 KIPS |
|
Text Classification (Q)
|
88% |
1111
1.50 KIPS |
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |