| User | yavorsky |
| Upload Date | July 22 2025 04:05 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook 14 UX3405CA_UX3405CA |
| Motherboard | ASUSTeK COMPUTER INC. UX3405CA |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3657
680.1 IPS |
|
|
Image Classification (HP)
|
100% |
3928
730.5 IPS |
|
|
Image Classification (Q)
|
100% |
8699
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4089
66.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8491
137.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7174
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
6744
7.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
25057
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2802
222.3 IPS |
|
|
Object Detection (HP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (Q)
|
88% |
9184
736.2 IPS |
|
|
Face Detection (SP)
|
100% |
8882
105.5 IPS |
|
|
Face Detection (HP)
|
100% |
10225
121.5 IPS |
|
|
Face Detection (Q)
|
100% |
17568
208.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7458
57.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7918
61.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
21624
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19164
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20011
25.7 IPS |
|
|
Style Transfer (Q)
|
98% |
66839
86.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4462
164.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12970
480.3 IPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (Q)
|
92% |
4908
6.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3430
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3255
56.1 IPS |