| Upload Date | December 08 2025 11:58 PM |
| 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% |
1839
342.1 IPS |
|
|
Image Classification (HP)
|
100% |
1834
341.1 IPS |
|
|
Image Classification (Q)
|
100% |
4599
855.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2003
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4442
72.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3535
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
3547
4.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
12169
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1648
130.7 IPS |
|
|
Object Detection (HP)
|
100% |
1639
130.0 IPS |
|
|
Object Detection (Q)
|
88% |
4262
341.6 IPS |
|
|
Face Detection (SP)
|
100% |
2560
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
3549
42.2 IPS |
|
|
Face Detection (Q)
|
100% |
9493
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4259
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4227
32.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11194
87.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10173
13.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10413
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
37214
48.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7620
282.2 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
3688
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3034
52.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3024
52.1 IPS |