| User | alexb |
| Upload Date | July 06 2025 05:57 AM |
| Views | 8 |
| 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-I GAMING WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4135
769.0 IPS |
|
|
Image Classification (HP)
|
100% |
6274
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8427
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4311
69.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9715
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
12190
197.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12135
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11287
13.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
38318
44.9 IPS |
|
|
Object Detection (SP)
|
100% |
3716
294.8 IPS |
|
|
Object Detection (HP)
|
100% |
6098
483.7 IPS |
|
|
Object Detection (Q)
|
88% |
9659
774.0 IPS |
|
|
Face Detection (SP)
|
100% |
8871
105.4 IPS |
|
|
Face Detection (HP)
|
100% |
17502
208.0 IPS |
|
|
Face Detection (Q)
|
100% |
26829
318.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12937
99.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
22884
176.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
26789
208.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29796
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
42475
54.6 IPS |
|
|
Style Transfer (Q)
|
98% |
91154
117.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9766
360.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15894
588.6 IPS |
|
|
Text Classification (SP)
|
71% |
1689
2.44 KIPS |
|
|
Text Classification (HP)
|
71% |
2624
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2714
3.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3896
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3908
67.5 IPS |