| User | wavejunkie |
| Upload Date | September 12 2025 10:54 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AERO G |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9780
1.82 KIPS |
|
|
Image Classification (HP)
|
99% |
13994
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
6556
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18994
307.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
27635
448.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12888
209.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
170344
198.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
365020
425.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
128009
150.0 IPS |
|
|
Object Detection (SP)
|
100% |
13173
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
19013
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
8706
700.4 IPS |
|
|
Face Detection (SP)
|
100% |
36237
430.6 IPS |
|
|
Face Detection (HP)
|
100% |
52811
627.5 IPS |
|
|
Face Detection (Q)
|
97% |
23044
274.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
64797
499.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
111274
857.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
37769
302.5 IPS |
|
|
Style Transfer (SP)
|
100% |
274430
352.8 IPS |
|
|
Style Transfer (HP)
|
100% |
649863
835.4 IPS |
|
|
Style Transfer (Q)
|
98% |
193531
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38299
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54521
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21703
803.6 IPS |
|
|
Text Classification (SP)
|
100% |
2648
3.53 KIPS |
|
|
Text Classification (HP)
|
99% |
3306
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4978
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4857
83.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1608
30.2 IPS |