| User | svswe |
| Upload Date | December 10 2025 08:58 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Balanserat |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3758
699.0 IPS |
|
|
Image Classification (HP)
|
100% |
5972
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7964
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3634
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8514
138.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
11603
188.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12117
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11413
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38268
44.8 IPS |
|
|
Object Detection (SP)
|
100% |
3479
275.9 IPS |
|
|
Object Detection (HP)
|
100% |
5905
468.4 IPS |
|
|
Object Detection (Q)
|
88% |
9336
748.2 IPS |
|
|
Face Detection (SP)
|
100% |
7523
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
15362
182.5 IPS |
|
|
Face Detection (Q)
|
100% |
24549
291.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12493
96.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
22090
170.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
26407
205.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29807
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41516
53.4 IPS |
|
|
Style Transfer (Q)
|
98% |
89753
115.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9407
347.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15388
569.9 IPS |
|
|
Text Classification (SP)
|
71% |
1553
2.25 KIPS |
|
|
Text Classification (HP)
|
71% |
2438
3.53 KIPS |
|
|
Text Classification (Q)
|
92% |
2521
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3557
61.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3573
61.7 IPS |