| User | domdtxdissar |
| Upload Date | February 13 2025 04:03 PM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 16-Core Processor |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
19575
3.64 KIPS |
|
|
Image Classification (HP)
|
100% |
24424
4.54 KIPS |
|
|
Image Classification (Q)
|
100% |
16173
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33986
550.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
42571
690.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
32975
536.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
441856
515.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
1040010
1.21 KIPS |
|
|
Pose Estimation (Q)
|
94% |
342683
401.9 IPS |
|
|
Object Detection (SP)
|
100% |
26467
2.10 KIPS |
|
|
Object Detection (HP)
|
100% |
34673
2.75 KIPS |
|
|
Object Detection (Q)
|
89% |
20969
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
73189
869.6 IPS |
|
|
Face Detection (HP)
|
100% |
96124
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
58661
699.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
120662
929.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
205039
1.58 KIPS |
|
|
Depth Estimation (Q)
|
76% |
84463
680.8 IPS |
|
|
Style Transfer (SP)
|
100% |
677760
871.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1903675
2.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
579202
746.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
84854
3.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
109236
4.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59480
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
4621
6.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5962
7.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2813
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
7009
120.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7210
124.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2824
63.0 IPS |