| Upload Date | December 16 2025 09:00 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 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 | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6788
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
9397
1.75 KIPS |
|
|
Image Classification (Q)
|
99% |
4783
892.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
11258
182.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15124
245.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8665
140.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
87892
102.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
275620
321.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
73282
85.9 IPS |
|
|
Object Detection (SP)
|
100% |
8308
659.0 IPS |
|
|
Object Detection (HP)
|
100% |
11942
947.2 IPS |
|
|
Object Detection (Q)
|
85% |
5978
481.2 IPS |
|
|
Face Detection (SP)
|
100% |
20617
245.0 IPS |
|
|
Face Detection (HP)
|
100% |
30551
363.0 IPS |
|
|
Face Detection (Q)
|
97% |
15237
181.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
42882
330.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
68062
524.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
25748
206.3 IPS |
|
|
Style Transfer (SP)
|
100% |
172498
221.7 IPS |
|
|
Style Transfer (HP)
|
100% |
399658
513.8 IPS |
|
|
Style Transfer (Q)
|
98% |
130920
168.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26491
978.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36051
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14862
550.3 IPS |
|
|
Text Classification (SP)
|
100% |
1673
2.23 KIPS |
|
|
Text Classification (HP)
|
99% |
2614
3.49 KIPS |
|
|
Text Classification (Q)
|
97% |
983
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3207
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3125
53.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1220
22.9 IPS |