| User | mvildosola |
| Upload Date | September 05 2025 01:52 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | CHUWI Innovation And Technology(ShenZhen)co.,Ltd FreeBook |
| Motherboard | Default string Default string |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.36 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (HP)
|
100% |
433
80.6 IPS |
|
|
Image Classification (Q)
|
99% |
279
52.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
542
8.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
335
5.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
771
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
772
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
617
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.0 IPS |
|
|
Object Detection (Q)
|
85% |
290
23.3 IPS |
|
|
Face Detection (SP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
725
8.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
856
6.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
856
6.59 IPS |
|
|
Depth Estimation (Q)
|
63% |
555
5.21 IPS |
|
|
Style Transfer (SP)
|
100% |
1351
1.74 IPS |
|
|
Style Transfer (HP)
|
100% |
1353
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1467
1.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
360
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
616
822.0 IPS |
|
|
Text Classification (HP)
|
100% |
616
822.2 IPS |
|
|
Text Classification (Q)
|
92% |
267
358.4 IPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
940
16.2 IPS |
|
|
Machine Translation (Q)
|
58% |
259
6.09 IPS |