| User | hunter432119 |
| Upload Date | September 05 2025 03:09 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-E GAMING WIFI |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5468
1.02 KIPS |
|
|
Image Classification (HP)
|
99% |
8374
1.56 KIPS |
|
|
Image Classification (Q)
|
99% |
4296
801.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6438
104.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8355
135.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5574
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
70491
82.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
185248
216.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
58578
68.6 IPS |
|
|
Object Detection (SP)
|
100% |
6174
489.7 IPS |
|
|
Object Detection (HP)
|
100% |
9874
783.2 IPS |
|
|
Object Detection (Q)
|
84% |
4957
399.8 IPS |
|
|
Face Detection (SP)
|
100% |
13850
164.6 IPS |
|
|
Face Detection (HP)
|
100% |
19845
235.8 IPS |
|
|
Face Detection (Q)
|
97% |
11543
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33993
261.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
63177
488.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
23811
190.6 IPS |
|
|
Style Transfer (SP)
|
100% |
115098
148.0 IPS |
|
|
Style Transfer (HP)
|
100% |
271070
348.5 IPS |
|
|
Style Transfer (Q)
|
98% |
93099
120.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20428
754.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33129
1.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13450
498.1 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3079
4.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1250
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2172
37.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1096
20.6 IPS |