| User | FavroiteGamers2017 |
| Upload Date | May 02 2025 06:51 AM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-I GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7655
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
12070
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
7102
1.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11378
184.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14770
239.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10486
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
114357
133.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
336947
393.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
106125
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
9353
741.9 IPS |
|
|
Object Detection (HP)
|
100% |
14675
1.16 KIPS |
|
|
Object Detection (Q)
|
83% |
8232
665.1 IPS |
|
|
Face Detection (SP)
|
100% |
23601
280.4 IPS |
|
|
Face Detection (HP)
|
100% |
34235
406.8 IPS |
|
|
Face Detection (Q)
|
97% |
21003
250.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
49699
382.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
96581
744.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
39982
319.1 IPS |
|
|
Style Transfer (SP)
|
100% |
158252
203.4 IPS |
|
|
Style Transfer (HP)
|
100% |
498369
640.7 IPS |
|
|
Style Transfer (Q)
|
98% |
139035
179.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28616
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50792
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22524
834.0 IPS |
|
|
Text Classification (SP)
|
100% |
2727
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3192
4.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1815
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1614
30.3 IPS |