| Upload Date | October 17 2025 04:32 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun Default string |
| Motherboard | Maxsun MS-iCraft Z790 WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10534
1.96 KIPS |
|
|
Image Classification (HP)
|
99% |
15481
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
9764
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15333
248.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17538
284.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13432
218.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
176490
205.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
449740
524.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
160446
188.0 IPS |
|
|
Object Detection (SP)
|
100% |
13530
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
19603
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
11527
927.3 IPS |
|
|
Face Detection (SP)
|
100% |
33480
397.8 IPS |
|
|
Face Detection (HP)
|
100% |
41788
496.5 IPS |
|
|
Face Detection (Q)
|
97% |
29176
347.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
71879
553.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
123217
952.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
56772
453.9 IPS |
|
|
Style Transfer (SP)
|
100% |
313636
403.2 IPS |
|
|
Style Transfer (HP)
|
100% |
695751
894.4 IPS |
|
|
Style Transfer (Q)
|
98% |
273702
352.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45279
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
55820
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35320
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3362
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4113
5.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2080
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3630
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3642
62.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2044
38.3 IPS |