| User | opensourceeverywhere |
| Upload Date | February 27 2025 09:24 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X600-ITX |
| Motherboard | ASRock X600-ITX |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3080
572.9 IPS |
|
|
Image Classification (HP)
|
100% |
823
153.1 IPS |
|
|
Image Classification (Q)
|
99% |
7562
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1453
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3111
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9317
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7701
8.99 IPS |
|
|
Pose Estimation (Q)
|
95% |
38730
45.4 IPS |
|
|
Object Detection (SP)
|
100% |
3474
275.6 IPS |
|
|
Object Detection (HP)
|
100% |
915
72.6 IPS |
|
|
Object Detection (Q)
|
88% |
3876
310.7 IPS |
|
|
Face Detection (SP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
2090
24.8 IPS |
|
|
Face Detection (Q)
|
97% |
6114
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10278
79.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
4046
31.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12801
102.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21867
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18021
23.2 IPS |
|
|
Style Transfer (Q)
|
98% |
32877
42.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4115
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3348
123.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6020
222.9 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (Q)
|
97% |
555
743.5 IPS |
|
|
Machine Translation (SP)
|
100% |
3498
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (Q)
|
60% |
3551
79.2 IPS |