| Upload Date | November 13 2025 01:33 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 Pro RS |
| Motherboard | ASRock Z790 Pro RS |
| 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% |
13477
2.51 KIPS |
|
|
Image Classification (HP)
|
100% |
20144
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
11891
2.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25523
413.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
36676
594.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22257
361.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
165865
193.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
666428
777.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
150573
176.4 IPS |
|
|
Object Detection (SP)
|
100% |
16665
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
26365
2.09 KIPS |
|
|
Object Detection (Q)
|
86% |
13741
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
47531
564.8 IPS |
|
|
Face Detection (HP)
|
100% |
66740
793.0 IPS |
|
|
Face Detection (Q)
|
97% |
39669
473.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
81208
625.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
145226
1.12 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62360
498.0 IPS |
|
|
Style Transfer (SP)
|
100% |
313914
403.5 IPS |
|
|
Style Transfer (HP)
|
100% |
999356
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
253390
326.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47250
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73848
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35299
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3919
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
97% |
2309
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
6868
118.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6859
118.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2876
53.9 IPS |