| Upload Date | December 09 2025 12:33 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13420H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTCENTER P440VA_V440VA |
| Motherboard | ASUSTeK COMPUTER INC. P440VA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1773
329.7 IPS |
|
|
Image Classification (HP)
|
100% |
1806
335.8 IPS |
|
|
Image Classification (Q)
|
100% |
4603
856.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4292
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3443
4.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
3255
3.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
12342
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1575
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
1758
139.5 IPS |
|
|
Object Detection (Q)
|
88% |
4699
376.7 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
8919
106.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4315
33.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4658
35.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11850
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10278
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10006
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
35494
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1979
73.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7059
261.4 IPS |
|
|
Text Classification (SP)
|
100% |
2040
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
2055
2.74 KIPS |
|
|
Text Classification (Q)
|
92% |
3860
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2869
49.4 IPS |