| User | sdfsdgsgs |
| Upload Date | July 01 2025 02:41 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10928
2.03 KIPS |
|
|
Image Classification (HP)
|
99% |
15677
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
7068
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20454
331.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30069
487.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13845
225.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
177307
206.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
375023
437.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
132704
155.5 IPS |
|
|
Object Detection (SP)
|
100% |
14380
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
20414
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
9284
746.8 IPS |
|
|
Face Detection (SP)
|
100% |
38408
456.4 IPS |
|
|
Face Detection (HP)
|
100% |
57421
682.3 IPS |
|
|
Face Detection (Q)
|
97% |
23419
279.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
67860
522.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
112760
868.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
38624
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
283018
363.8 IPS |
|
|
Style Transfer (HP)
|
100% |
671390
863.1 IPS |
|
|
Style Transfer (Q)
|
98% |
197804
255.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43429
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61013
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22422
830.3 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4222
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5456
94.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1687
31.6 IPS |