| User | MutnuyHavy |
| Upload Date | July 29 2025 06:30 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | COLORFUL P16 Pro IXA1 |
| Motherboard | COLORFUL P16 Pro IXA1 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900HX |
| 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% |
3563
662.5 IPS |
|
|
Image Classification (HP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (Q)
|
99% |
5852
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10743
174.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9849
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
28254
33.1 IPS |
|
|
Object Detection (SP)
|
100% |
3503
277.8 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
86% |
6018
483.7 IPS |
|
|
Face Detection (SP)
|
100% |
10873
129.2 IPS |
|
|
Face Detection (HP)
|
100% |
1442
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
9964
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10327
79.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1854
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
14786
118.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21159
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10335
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25630
33.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3118
115.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1868
69.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5212
193.0 IPS |
|
|
Text Classification (SP)
|
100% |
1373
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
615
820.7 IPS |
|
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1831
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3165
63.6 IPS |