| User | mattks92 |
| Upload Date | May 18 2025 01:07 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12450H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K3605ZF_K3605ZF |
| Motherboard | ASUSTeK COMPUTER INC. K3605ZF |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
1392
258.8 IPS |
|
|
Image Classification (Q)
|
100% |
3596
668.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1323
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2588
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
9805
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
88% |
3620
290.1 IPS |
|
|
Face Detection (SP)
|
100% |
2691
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
2697
32.0 IPS |
|
|
Face Detection (Q)
|
100% |
8225
97.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3524
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3556
27.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9174
71.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7522
9.67 IPS |
|
|
Style Transfer (HP)
|
100% |
7830
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
26963
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1608
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1612
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5417
200.6 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1689
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3296
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2400
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2514
43.3 IPS |