| User | Spiike |
| Upload Date | June 05 2025 05:01 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1813
337.1 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.1 IPS |
|
|
Image Classification (Q)
|
96% |
3596
671.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
640
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1537
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3775
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
3150
3.68 IPS |
|
|
Pose Estimation (Q)
|
86% |
8475
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1943
154.1 IPS |
|
|
Object Detection (HP)
|
100% |
540
42.8 IPS |
|
|
Object Detection (Q)
|
58% |
2074
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
5694
67.7 IPS |
|
|
Face Detection (HP)
|
100% |
1305
15.5 IPS |
|
|
Face Detection (Q)
|
96% |
5952
71.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5056
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1643
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8066
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9639
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7767
9.98 IPS |
|
|
Style Transfer (Q)
|
87% |
14507
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2288
84.8 IPS |
|
|
Text Classification (SP)
|
100% |
1078
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
559
746.4 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1956
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2242
43.3 IPS |