| User | pdindetroit |
| Upload Date | May 17 2025 08:10 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10816
2.01 KIPS |
|
|
Image Classification (HP)
|
100% |
17784
3.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9877
1.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21432
347.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
32038
519.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
19256
313.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
171637
200.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
485501
566.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
148113
173.5 IPS |
|
|
Object Detection (SP)
|
100% |
15212
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
25603
2.03 KIPS |
|
|
Object Detection (Q)
|
83% |
12730
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
42467
504.6 IPS |
|
|
Face Detection (HP)
|
100% |
63202
751.0 IPS |
|
|
Face Detection (Q)
|
97% |
35616
424.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
70482
543.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
129667
999.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
54967
438.7 IPS |
|
|
Style Transfer (SP)
|
100% |
237018
304.7 IPS |
|
|
Style Transfer (HP)
|
100% |
785272
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
203628
262.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41018
1.51 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72245
2.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32798
1.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
3811
5.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2153
2.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6274
108.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6409
110.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2934
55.0 IPS |