| User | masterr |
| Upload Date | April 20 2025 03:57 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook Pro 15 N6506MV_N6506MV |
| Motherboard | ASUSTeK COMPUTER INC. N6506MV |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2640
490.9 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.0 IPS |
|
|
Image Classification (Q)
|
99% |
4893
912.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
992
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3423
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5811
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
3470
4.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
21412
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
86% |
6271
504.0 IPS |
|
|
Face Detection (SP)
|
100% |
6265
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
1499
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
8679
103.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7398
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2010
15.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13950
111.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13407
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8883
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
17073
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1710
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4088
151.4 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
717
957.3 IPS |
|
|
Text Classification (Q)
|
97% |
1639
2.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3253
65.4 IPS |