| User | pszuszki |
| Upload Date | July 31 2025 08:22 PM |
| Views | 8 |
| 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 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10122
1.88 KIPS |
|
|
Image Classification (HP)
|
99% |
14044
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
6668
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19533
316.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
29035
470.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13397
217.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
169730
198.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
367320
428.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
127959
149.9 IPS |
|
|
Object Detection (SP)
|
100% |
13535
1.07 KIPS |
|
|
Object Detection (HP)
|
100% |
19015
1.51 KIPS |
|
|
Object Detection (Q)
|
85% |
8850
711.9 IPS |
|
|
Face Detection (SP)
|
100% |
37519
445.8 IPS |
|
|
Face Detection (HP)
|
100% |
54173
643.7 IPS |
|
|
Face Detection (Q)
|
97% |
23692
282.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
64410
496.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
106110
817.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37544
300.7 IPS |
|
|
Style Transfer (SP)
|
100% |
275802
354.5 IPS |
|
|
Style Transfer (HP)
|
100% |
643264
826.9 IPS |
|
|
Style Transfer (Q)
|
98% |
194718
251.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39168
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54955
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21988
814.2 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3501
4.67 KIPS |
|
|
Text Classification (Q)
|
97% |
1412
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5101
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5012
86.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1620
30.4 IPS |