| Upload Date | December 03 2025 06:32 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 | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 GAMING X WIFI7 |
| Power Plan | Balanced |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4103
762.9 IPS |
|
|
Image Classification (HP)
|
100% |
6318
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8421
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4301
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9568
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
12002
194.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12198
14.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
11394
13.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38526
45.1 IPS |
|
|
Object Detection (SP)
|
100% |
3804
301.7 IPS |
|
|
Object Detection (HP)
|
100% |
6177
490.0 IPS |
|
|
Object Detection (Q)
|
88% |
9744
780.8 IPS |
|
|
Face Detection (SP)
|
100% |
8864
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
17412
206.9 IPS |
|
|
Face Detection (Q)
|
100% |
26797
318.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13220
101.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
23221
179.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
26986
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30331
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42846
55.1 IPS |
|
|
Style Transfer (Q)
|
98% |
90698
117.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9730
359.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15772
584.1 IPS |
|
|
Text Classification (SP)
|
71% |
1671
2.42 KIPS |
|
|
Text Classification (HP)
|
71% |
2560
3.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2669
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2119
36.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3798
65.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3796
65.6 IPS |