| User | airoas |
| Upload Date | September 10 2025 06:09 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
6466
1.20 KIPS |
|
|
Image Classification (Q)
|
100% |
8510
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4734
76.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9972
161.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
12485
202.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12273
14.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
11477
13.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37068
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
3956
313.8 IPS |
|
|
Object Detection (HP)
|
100% |
6284
498.5 IPS |
|
|
Object Detection (Q)
|
88% |
10287
824.4 IPS |
|
|
Face Detection (SP)
|
100% |
9773
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
18698
222.2 IPS |
|
|
Face Detection (Q)
|
100% |
27792
330.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13564
104.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
23793
183.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26398
205.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30738
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
42254
54.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85739
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9776
361.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15421
571.1 IPS |
|
|
Text Classification (SP)
|
71% |
1753
2.54 KIPS |
|
|
Text Classification (HP)
|
71% |
2679
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2825
3.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4046
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4048
69.9 IPS |