| User | expresspcpro |
| Upload Date | October 15 2025 12:26 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PRO (WI-FI) |
| Power Plan | High performance |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6473
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
10443
1.94 KIPS |
|
|
Image Classification (Q)
|
99% |
4886
911.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
10624
172.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14267
231.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8419
136.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
86872
101.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
232159
270.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
70173
82.2 IPS |
|
|
Object Detection (SP)
|
100% |
7908
627.2 IPS |
|
|
Object Detection (HP)
|
100% |
12539
994.6 IPS |
|
|
Object Detection (Q)
|
84% |
6079
490.3 IPS |
|
|
Face Detection (SP)
|
100% |
19053
226.4 IPS |
|
|
Face Detection (HP)
|
100% |
29475
350.2 IPS |
|
|
Face Detection (Q)
|
97% |
14799
176.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40541
312.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
70701
544.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
26879
215.3 IPS |
|
|
Style Transfer (SP)
|
100% |
148880
191.4 IPS |
|
|
Style Transfer (HP)
|
100% |
335883
431.8 IPS |
|
|
Style Transfer (Q)
|
98% |
117944
152.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26256
969.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38800
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15434
571.5 IPS |
|
|
Text Classification (SP)
|
100% |
1995
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
2872
3.83 KIPS |
|
|
Text Classification (Q)
|
97% |
1165
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3370
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3421
58.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1374
25.8 IPS |