| User | jacorf |
| Upload Date | February 21 2026 08:09 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10470
1.95 KIPS |
|
|
Image Classification (HP)
|
99% |
15046
2.81 KIPS |
|
|
Image Classification (Q)
|
100% |
6948
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19523
316.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28617
463.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13453
218.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
190867
222.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
386419
450.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
142246
166.7 IPS |
|
|
Object Detection (SP)
|
100% |
13771
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
19652
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
9082
730.5 IPS |
|
|
Face Detection (SP)
|
100% |
37967
451.1 IPS |
|
|
Face Detection (HP)
|
100% |
54416
646.6 IPS |
|
|
Face Detection (Q)
|
97% |
24262
289.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
68519
527.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
117970
908.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
39611
317.2 IPS |
|
|
Style Transfer (SP)
|
100% |
295068
379.3 IPS |
|
|
Style Transfer (HP)
|
100% |
687816
884.2 IPS |
|
|
Style Transfer (Q)
|
98% |
206792
266.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41173
1.52 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59034
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23104
855.5 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1486
1.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1674
31.4 IPS |