| User | sdfsdgsgs |
| Upload Date | April 15 2025 11:32 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 8-Core Processor |
| 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% |
10888
2.02 KIPS |
|
|
Image Classification (HP)
|
99% |
15439
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
7056
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20116
326.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
30329
491.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13824
224.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
183497
214.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
384033
448.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
135639
158.9 IPS |
|
|
Object Detection (SP)
|
100% |
14516
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
20772
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
9302
748.2 IPS |
|
|
Face Detection (SP)
|
100% |
39256
466.5 IPS |
|
|
Face Detection (HP)
|
100% |
57442
682.5 IPS |
|
|
Face Detection (Q)
|
97% |
24350
290.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
66883
515.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
111046
855.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
38618
309.3 IPS |
|
|
Style Transfer (SP)
|
100% |
288578
371.0 IPS |
|
|
Style Transfer (HP)
|
100% |
678256
871.9 IPS |
|
|
Style Transfer (Q)
|
98% |
200094
258.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42385
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60141
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22998
851.6 IPS |
|
|
Text Classification (SP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4280
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1541
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5429
93.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5321
91.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1674
31.4 IPS |