| User | sdfsdgsgs |
| Upload Date | July 01 2025 02:45 AM |
| Views | 8 |
| 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% |
11052
2.06 KIPS |
|
|
Image Classification (HP)
|
99% |
15790
2.95 KIPS |
|
|
Image Classification (Q)
|
100% |
7214
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20903
338.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
30474
494.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14272
232.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
189583
221.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
393623
459.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
141067
165.3 IPS |
|
|
Object Detection (SP)
|
100% |
14855
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
20582
1.63 KIPS |
|
|
Object Detection (Q)
|
85% |
9386
755.0 IPS |
|
|
Face Detection (SP)
|
100% |
41488
493.0 IPS |
|
|
Face Detection (HP)
|
100% |
58798
698.6 IPS |
|
|
Face Detection (Q)
|
97% |
25183
300.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
70139
540.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
114649
883.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
39554
316.8 IPS |
|
|
Style Transfer (SP)
|
100% |
297352
382.2 IPS |
|
|
Style Transfer (HP)
|
100% |
700324
900.3 IPS |
|
|
Style Transfer (Q)
|
98% |
207968
268.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44127
1.63 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61596
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23623
874.7 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4265
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1555
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5489
94.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5400
93.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1719
32.2 IPS |