| User | sly_ |
| Upload Date | May 19 2025 07:14 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 2700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4721
878.0 IPS |
|
|
Image Classification (HP)
|
100% |
7624
1.42 KIPS |
|
|
Image Classification (Q)
|
99% |
3759
701.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7167
116.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9615
155.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5910
96.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
54328
63.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
146023
170.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
46100
54.0 IPS |
|
|
Object Detection (SP)
|
100% |
5603
444.4 IPS |
|
|
Object Detection (HP)
|
100% |
9153
726.1 IPS |
|
|
Object Detection (Q)
|
84% |
4477
361.1 IPS |
|
|
Face Detection (SP)
|
100% |
12665
150.5 IPS |
|
|
Face Detection (HP)
|
100% |
18963
225.3 IPS |
|
|
Face Detection (Q)
|
97% |
10597
126.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28167
217.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
53855
414.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
19678
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
94859
121.9 IPS |
|
|
Style Transfer (HP)
|
100% |
221002
284.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78755
101.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16537
610.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27100
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10376
384.2 IPS |
|
|
Text Classification (SP)
|
100% |
1627
2.17 KIPS |
|
|
Text Classification (HP)
|
99% |
2318
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1000
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2646
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1207
22.6 IPS |