| User | ERIK4455 |
| Upload Date | November 13 2025 11:29 PM |
| Views | 2 |
| 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-E GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4052
753.5 IPS |
|
|
Image Classification (HP)
|
100% |
6377
1.19 KIPS |
|
|
Image Classification (Q)
|
100% |
8418
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4092
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9040
146.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11455
185.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12066
14.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
11323
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38592
45.2 IPS |
|
|
Object Detection (SP)
|
100% |
3759
298.2 IPS |
|
|
Object Detection (HP)
|
100% |
6192
491.1 IPS |
|
|
Object Detection (Q)
|
88% |
9708
778.0 IPS |
|
|
Face Detection (SP)
|
100% |
8235
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
16530
196.4 IPS |
|
|
Face Detection (Q)
|
100% |
26175
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11980
92.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
22414
173.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
26832
208.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30261
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
42526
54.7 IPS |
|
|
Style Transfer (Q)
|
98% |
91320
117.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5397
199.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9786
361.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16012
593.0 IPS |
|
|
Text Classification (SP)
|
71% |
1695
2.45 KIPS |
|
|
Text Classification (HP)
|
71% |
2683
3.88 KIPS |
|
|
Text Classification (Q)
|
92% |
2846
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3925
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3959
68.4 IPS |