| User | TechnoCat |
| Upload Date | January 27 2025 05:48 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Zenbook Duo UX8406CA_UX8406CA |
| Motherboard | ASUSTeK COMPUTER INC. UX8406CA |
| 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% |
3571
664.1 IPS |
|
|
Image Classification (HP)
|
100% |
640
119.0 IPS |
|
|
Image Classification (Q)
|
99% |
7517
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2168
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3639
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7959
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
5437
6.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
21933
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (HP)
|
100% |
734
58.2 IPS |
|
|
Object Detection (Q)
|
86% |
6272
504.1 IPS |
|
|
Face Detection (SP)
|
100% |
7777
92.4 IPS |
|
|
Face Detection (HP)
|
100% |
1835
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
8582
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8121
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2354
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
14873
118.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15566
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11099
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23286
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2183
80.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.5 IPS |
|
|
Text Classification (SP)
|
100% |
1529
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
730
974.1 IPS |
|
|
Text Classification (Q)
|
97% |
1538
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2329
40.1 IPS |
|
|
Machine Translation (HP)
|
100% |
862
14.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3193
64.2 IPS |