| User | JanOlsan |
| Upload Date | August 16 2024 12:43 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Vysok vkon |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
600
111.6 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (Q)
|
100% |
564
104.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6630
7.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
10853
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5916
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
89% |
608
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
1807
21.5 IPS |
|
|
Face Detection (HP)
|
100% |
1806
21.5 IPS |
|
|
Face Detection (Q)
|
97% |
1533
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3531
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4218
32.5 IPS |
|
|
Depth Estimation (Q)
|
73% |
3022
24.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11186
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16074
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
9900
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2840
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3789
139.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2099
77.7 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
97% |
530
709.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1140
19.6 IPS |
|
|
Machine Translation (Q)
|
60% |
500
11.2 IPS |