| Upload Date | November 18 2025 06:52 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. Z890I AORUS ULTRA |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4205
781.9 IPS |
|
|
Image Classification (HP)
|
100% |
7235
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
10124
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6522
105.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11480
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34421
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
75915
88.9 IPS |
|
|
Object Detection (SP)
|
100% |
4094
324.8 IPS |
|
|
Object Detection (HP)
|
100% |
6277
497.9 IPS |
|
|
Object Detection (Q)
|
88% |
10585
848.6 IPS |
|
|
Face Detection (SP)
|
100% |
13167
156.5 IPS |
|
|
Face Detection (HP)
|
100% |
19199
228.1 IPS |
|
|
Face Detection (Q)
|
100% |
34868
414.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12439
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19560
150.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
35851
279.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33423
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56810
73.0 IPS |
|
|
Style Transfer (Q)
|
98% |
103355
133.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16312
602.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
31984
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
2191
2.92 KIPS |
|
|
Text Classification (Q)
|
92% |
2203
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5010
86.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5129
88.3 IPS |