| User | MrCrispr |
| Upload Date | March 13 2025 11:43 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Balanced |
| 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% |
12149
2.26 KIPS |
|
|
Image Classification (HP)
|
100% |
21098
3.92 KIPS |
|
|
Image Classification (Q)
|
100% |
10981
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21353
346.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
31740
514.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
20568
334.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
177351
206.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
506118
590.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
150598
176.6 IPS |
|
|
Object Detection (SP)
|
100% |
16611
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
27906
2.21 KIPS |
|
|
Object Detection (Q)
|
89% |
13072
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
40109
476.6 IPS |
|
|
Face Detection (HP)
|
100% |
59269
704.2 IPS |
|
|
Face Detection (Q)
|
97% |
32247
384.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
75235
579.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
134531
1.04 KIPS |
|
|
Depth Estimation (Q)
|
76% |
57890
465.3 IPS |
|
|
Style Transfer (SP)
|
100% |
254538
327.2 IPS |
|
|
Style Transfer (HP)
|
100% |
883795
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
218358
281.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47484
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
87337
3.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37531
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
4494
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5458
7.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2647
3.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
6393
110.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6508
112.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2642
58.9 IPS |