| User | zarushi |
| Upload Date | October 05 2025 12:05 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PLUS D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
2643
491.6 IPS |
|
|
Image Classification (Q)
|
99% |
4063
757.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3836
62.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4475
72.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (HP)
|
99% |
3092
3.61 IPS |
|
|
Pose Estimation (Q)
|
97% |
12697
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.5 IPS |
|
|
Object Detection (HP)
|
98% |
2258
179.7 IPS |
|
|
Object Detection (Q)
|
90% |
4293
343.3 IPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
7526
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
10307
122.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4921
37.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8282
64.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
11083
86.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10944
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17118
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29026
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1973
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3226
119.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6629
245.5 IPS |
|
|
Text Classification (SP)
|
71% |
1185
1.71 KIPS |
|
|
Text Classification (HP)
|
71% |
1434
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
1394
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2255
39.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2245
38.7 IPS |