| User | Tuxpan |
| Upload Date | March 01 2025 11:41 PM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3548
659.8 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
99% |
8841
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4010
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10552
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
7594
8.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
40431
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
4026
319.3 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
86% |
9792
787.0 IPS |
|
|
Face Detection (SP)
|
100% |
7788
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
1383
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
12203
145.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11378
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
20704
165.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22903
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19800
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
39675
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2683
99.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3823
141.6 IPS |
|
|
Text Classification (SP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
682
909.9 IPS |
|
|
Text Classification (Q)
|
97% |
1459
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2646
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3803
76.4 IPS |