| User | sdfsdgsgs |
| Upload Date | July 01 2025 02:47 AM |
| Views | 10 |
| 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% |
10927
2.03 KIPS |
|
|
Image Classification (HP)
|
99% |
15491
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
7153
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20720
335.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
30393
492.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
14189
230.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
191037
222.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
392810
458.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
143266
167.9 IPS |
|
|
Object Detection (SP)
|
100% |
14747
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
20547
1.63 KIPS |
|
|
Object Detection (Q)
|
85% |
9453
760.4 IPS |
|
|
Face Detection (SP)
|
100% |
41144
488.9 IPS |
|
|
Face Detection (HP)
|
100% |
58402
693.9 IPS |
|
|
Face Detection (Q)
|
97% |
25076
299.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
70253
541.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
114436
881.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39953
320.0 IPS |
|
|
Style Transfer (SP)
|
100% |
302777
389.2 IPS |
|
|
Style Transfer (HP)
|
100% |
701885
902.3 IPS |
|
|
Style Transfer (Q)
|
98% |
209979
270.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44352
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61756
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23752
879.5 IPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
4254
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1574
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5530
95.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5357
92.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1717
32.2 IPS |