| Upload Date | November 14 2025 03:46 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13980HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUSTeK COMPUTER INC. ROG Strix G614JU_G614JU |
| Motherboard | ASUSTeK COMPUTER INC. G614JU |
| Power Plan | Turbo |
| 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% |
4177
776.8 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
99% |
6506
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1640
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10447
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10337
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4414
5.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
30024
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3882
307.9 IPS |
|
|
Object Detection (HP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (Q)
|
86% |
7315
587.9 IPS |
|
|
Face Detection (SP)
|
100% |
11784
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
1572
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
10848
129.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11389
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1979
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
17447
139.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22565
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10661
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26847
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3441
127.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2025
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5721
211.8 IPS |
|
|
Text Classification (SP)
|
100% |
1431
1.91 KIPS |
|
|
Text Classification (HP)
|
100% |
714
953.3 IPS |
|
|
Text Classification (Q)
|
97% |
1315
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1990
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3426
68.8 IPS |