| Upload Date | August 03 2025 09:11 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550-PLUS WIFI II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12501
2.32 KIPS |
|
|
Image Classification (HP)
|
100% |
18094
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
11253
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23643
383.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
33508
543.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20809
338.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
178895
208.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
678226
791.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
161022
188.6 IPS |
|
|
Object Detection (SP)
|
100% |
17115
1.36 KIPS |
|
|
Object Detection (HP)
|
100% |
27466
2.18 KIPS |
|
|
Object Detection (Q)
|
86% |
14132
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
50640
601.7 IPS |
|
|
Face Detection (HP)
|
100% |
71201
846.0 IPS |
|
|
Face Detection (Q)
|
97% |
41428
494.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
84982
654.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
139498
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63310
505.5 IPS |
|
|
Style Transfer (SP)
|
100% |
322906
415.1 IPS |
|
|
Style Transfer (HP)
|
100% |
987244
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
267750
345.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45332
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71698
2.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34875
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3102
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2059
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
6294
108.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6305
108.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2914
54.7 IPS |