| Upload Date | November 06 2025 01:18 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13620H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop X1502VA_X1502VA |
| Motherboard | ASUSTeK COMPUTER INC. X1502VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13620H |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2037
378.8 IPS |
|
|
Image Classification (HP)
|
100% |
437
81.3 IPS |
|
|
Image Classification (Q)
|
99% |
3624
675.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
996
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5528
89.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3348
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2356
2.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
11042
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (Q)
|
86% |
4435
356.4 IPS |
|
|
Face Detection (SP)
|
100% |
3747
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
6423
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4657
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1621
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9622
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9116
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6409
8.24 IPS |
|
|
Style Transfer (Q)
|
98% |
13641
17.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1091
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4245
157.2 IPS |
|
|
Text Classification (SP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
596
796.0 IPS |
|
|
Text Classification (Q)
|
97% |
1258
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1504
25.9 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (Q)
|
65% |
1926
38.7 IPS |