| Upload Date | January 17 2026 02:23 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AERO G |
| Power Plan | Hchstleistung |
| 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% |
6932
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7709
1.43 KIPS |
|
|
Image Classification (Q)
|
100% |
11673
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9684
157.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5596
90.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
14471
234.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17259
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16417
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
33686
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
6955
551.6 IPS |
|
|
Object Detection (HP)
|
100% |
8301
658.5 IPS |
|
|
Object Detection (Q)
|
88% |
12685
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
18650
221.6 IPS |
|
|
Face Detection (HP)
|
100% |
16287
193.5 IPS |
|
|
Face Detection (Q)
|
100% |
33444
397.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13272
102.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17314
133.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
33601
261.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43360
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
33771
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95802
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8969
331.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8222
303.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18864
698.6 IPS |
|
|
Text Classification (SP)
|
100% |
4156
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (Q)
|
92% |
6388
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4135
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7917
136.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3881
66.9 IPS |