| User | Gorgon83 |
| Upload Date | September 02 2024 08:36 AM |
| Views | 40 |
| 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 CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9566
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13130
2.45 KIPS |
|
|
Image Classification (Q)
|
100% |
6036
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16013
259.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21510
348.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11771
191.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
186920
218.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
366109
427.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
140019
164.0 IPS |
|
|
Object Detection (SP)
|
100% |
12153
964.0 IPS |
|
|
Object Detection (HP)
|
100% |
16580
1.32 KIPS |
|
|
Object Detection (Q)
|
89% |
8015
641.7 IPS |
|
|
Face Detection (SP)
|
100% |
31105
369.6 IPS |
|
|
Face Detection (HP)
|
100% |
42644
506.7 IPS |
|
|
Face Detection (Q)
|
97% |
20045
239.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
59718
460.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104311
803.7 IPS |
|
|
Depth Estimation (Q)
|
69% |
33194
281.2 IPS |
|
|
Style Transfer (SP)
|
100% |
282111
362.7 IPS |
|
|
Style Transfer (HP)
|
100% |
645008
829.2 IPS |
|
|
Style Transfer (Q)
|
98% |
201163
259.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39384
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53704
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22217
822.7 IPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3696
4.93 KIPS |
|
|
Text Classification (Q)
|
97% |
1473
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4101
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1318
29.4 IPS |