| User | pszuszki |
| Upload Date | July 31 2025 07:36 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 | 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% |
10069
1.87 KIPS |
|
|
Image Classification (HP)
|
99% |
13933
2.60 KIPS |
|
|
Image Classification (Q)
|
100% |
6602
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19557
317.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
29004
470.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13454
218.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
171271
199.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
368337
429.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
129279
151.5 IPS |
|
|
Object Detection (SP)
|
100% |
13592
1.08 KIPS |
|
|
Object Detection (HP)
|
100% |
18969
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
8896
715.6 IPS |
|
|
Face Detection (SP)
|
100% |
37716
448.1 IPS |
|
|
Face Detection (HP)
|
100% |
53715
638.2 IPS |
|
|
Face Detection (Q)
|
97% |
23823
284.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
64500
496.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
106110
817.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
37640
301.4 IPS |
|
|
Style Transfer (SP)
|
100% |
280392
360.4 IPS |
|
|
Style Transfer (HP)
|
100% |
645302
829.5 IPS |
|
|
Style Transfer (Q)
|
98% |
195449
252.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39031
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54125
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21922
811.8 IPS |
|
|
Text Classification (SP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
3514
4.69 KIPS |
|
|
Text Classification (Q)
|
97% |
1420
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5197
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5073
87.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1626
30.5 IPS |