| User | Surinder |
| Upload Date | February 06 2025 03:43 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9567
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13356
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6520
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14007
227.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18518
300.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
10785
175.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
174174
203.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
348041
406.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
130165
152.5 IPS |
|
|
Object Detection (SP)
|
100% |
12074
957.7 IPS |
|
|
Object Detection (HP)
|
100% |
16821
1.33 KIPS |
|
|
Object Detection (Q)
|
85% |
8256
664.1 IPS |
|
|
Face Detection (SP)
|
100% |
30808
366.1 IPS |
|
|
Face Detection (HP)
|
100% |
41348
491.3 IPS |
|
|
Face Detection (Q)
|
97% |
20668
246.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
59385
457.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104329
803.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
35947
287.9 IPS |
|
|
Style Transfer (SP)
|
100% |
271021
348.4 IPS |
|
|
Style Transfer (HP)
|
100% |
614124
789.5 IPS |
|
|
Style Transfer (Q)
|
98% |
193670
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38892
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52810
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21620
800.5 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1461
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3750
64.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1432
26.9 IPS |