| User | sdfsdgsgs |
| Upload Date | July 01 2025 02:43 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% |
10821
2.01 KIPS |
|
|
Image Classification (HP)
|
99% |
15413
2.87 KIPS |
|
|
Image Classification (Q)
|
100% |
6995
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20333
329.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
30025
486.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13948
226.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
179763
209.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
383861
447.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
135806
159.1 IPS |
|
|
Object Detection (SP)
|
100% |
14326
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
20304
1.61 KIPS |
|
|
Object Detection (Q)
|
85% |
9182
738.6 IPS |
|
|
Face Detection (SP)
|
100% |
40676
483.3 IPS |
|
|
Face Detection (HP)
|
100% |
58070
690.0 IPS |
|
|
Face Detection (Q)
|
97% |
24838
296.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
68033
524.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
112191
864.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38913
311.6 IPS |
|
|
Style Transfer (SP)
|
100% |
289208
371.8 IPS |
|
|
Style Transfer (HP)
|
100% |
680743
875.1 IPS |
|
|
Style Transfer (Q)
|
98% |
202479
261.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42947
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61265
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23421
867.2 IPS |
|
|
Text Classification (SP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4273
5.70 KIPS |
|
|
Text Classification (Q)
|
97% |
1553
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5470
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5344
92.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1700
31.9 IPS |