| Upload Date | November 10 2025 04:40 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16867
3.14 KIPS |
|
|
Image Classification (HP)
|
100% |
21912
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
14562
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
37678
610.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
48184
781.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
34834
566.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
406645
474.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
1004913
1.17 KIPS |
|
|
Pose Estimation (Q)
|
96% |
328051
384.3 IPS |
|
|
Object Detection (SP)
|
100% |
24506
1.94 KIPS |
|
|
Object Detection (HP)
|
100% |
31875
2.53 KIPS |
|
|
Object Detection (Q)
|
85% |
20118
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
75057
891.8 IPS |
|
|
Face Detection (HP)
|
100% |
100987
1.20 KIPS |
|
|
Face Detection (Q)
|
97% |
59737
712.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
106648
821.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
189971
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
76615
613.7 IPS |
|
|
Style Transfer (SP)
|
100% |
605067
777.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1772181
2.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
504526
650.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
75540
2.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
99532
3.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53218
1.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3952
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4742
6.33 KIPS |
|
|
Text Classification (Q)
|
97% |
2400
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
7435
128.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7434
128.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3223
60.5 IPS |