| User | sdfsdgsgs |
| Upload Date | July 01 2025 02:39 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% |
10955
2.04 KIPS |
|
|
Image Classification (HP)
|
99% |
15513
2.89 KIPS |
|
|
Image Classification (Q)
|
100% |
7002
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20444
331.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
30016
486.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14043
228.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
181007
211.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
388045
452.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
137524
161.1 IPS |
|
|
Object Detection (SP)
|
100% |
14374
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
20437
1.62 KIPS |
|
|
Object Detection (Q)
|
85% |
9308
748.7 IPS |
|
|
Face Detection (SP)
|
100% |
40740
484.1 IPS |
|
|
Face Detection (HP)
|
100% |
58541
695.6 IPS |
|
|
Face Detection (Q)
|
97% |
25036
298.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
67994
523.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
112811
869.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38823
310.9 IPS |
|
|
Style Transfer (SP)
|
100% |
286185
367.9 IPS |
|
|
Style Transfer (HP)
|
100% |
680737
875.1 IPS |
|
|
Style Transfer (Q)
|
98% |
200891
259.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42763
1.58 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61018
2.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23243
860.6 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
4264
5.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5471
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5346
92.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1693
31.7 IPS |