| User | Dementor048 |
| Upload Date | April 01 2025 07:43 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3788
704.4 IPS |
|
|
Image Classification (HP)
|
100% |
5767
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
7893
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3541
57.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8105
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12279
199.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12078
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11307
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
36488
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
3566
282.8 IPS |
|
|
Object Detection (HP)
|
100% |
5085
403.3 IPS |
|
|
Object Detection (Q)
|
88% |
9349
749.2 IPS |
|
|
Face Detection (SP)
|
100% |
7207
85.6 IPS |
|
|
Face Detection (HP)
|
100% |
13853
164.6 IPS |
|
|
Face Detection (Q)
|
100% |
23200
275.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12374
95.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
21123
163.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
25604
199.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29425
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41280
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
84700
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5183
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7870
290.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14824
549.0 IPS |
|
|
Text Classification (SP)
|
71% |
1542
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2258
3.27 KIPS |
|
|
Text Classification (Q)
|
92% |
2588
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2171
37.4 IPS |
|
|
Machine Translation (HP)
|
96% |
3097
53.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3120
53.7 IPS |