| User | uRyn |
| Upload Date | April 11 2025 02:55 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K6604JV_K6604JV |
| Motherboard | ASUSTeK COMPUTER INC. K6604JV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13980HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3020
561.6 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.4 IPS |
|
|
Image Classification (Q)
|
99% |
5162
962.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2844
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7070
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3158
3.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
21139
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2785
220.9 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.6 IPS |
|
|
Object Detection (Q)
|
86% |
5111
410.7 IPS |
|
|
Face Detection (SP)
|
100% |
8126
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
1125
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
8068
96.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1417
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12371
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16037
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8113
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18166
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1498
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2901
107.4 IPS |
|
|
Text Classification (SP)
|
100% |
1285
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
530
707.0 IPS |
|
|
Text Classification (Q)
|
97% |
1183
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1444
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
534
9.20 IPS |
|
|
Machine Translation (Q)
|
65% |
2171
43.6 IPS |