| User | chibifire |
| Upload Date | November 11 2025 02:22 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt B550-CREATOR |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10583
1.97 KIPS |
|
|
Image Classification (HP)
|
99% |
12964
2.42 KIPS |
|
|
Image Classification (Q)
|
100% |
9693
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16444
266.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18911
306.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14843
241.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
283702
331.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
481621
562.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
247438
289.9 IPS |
|
|
Object Detection (SP)
|
100% |
13620
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
17297
1.37 KIPS |
|
|
Object Detection (Q)
|
86% |
12000
964.1 IPS |
|
|
Face Detection (SP)
|
100% |
38616
458.8 IPS |
|
|
Face Detection (HP)
|
100% |
45433
539.8 IPS |
|
|
Face Detection (Q)
|
97% |
33663
401.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
84901
654.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
129685
999.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
63372
506.8 IPS |
|
|
Style Transfer (SP)
|
100% |
463908
596.4 IPS |
|
|
Style Transfer (HP)
|
100% |
814179
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
408661
527.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47173
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57902
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36248
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
2712
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3074
4.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1711
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3594
61.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2049
38.4 IPS |