| User | sumeragi |
| Upload Date | December 11 2025 03:06 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Balanced |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3671
682.6 IPS |
|
|
Image Classification (HP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (Q)
|
99% |
8884
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
851
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7651
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9255
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7545
8.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
39839
46.7 IPS |
|
|
Object Detection (SP)
|
100% |
3659
290.2 IPS |
|
|
Object Detection (HP)
|
100% |
781
62.0 IPS |
|
|
Object Detection (Q)
|
86% |
9071
729.0 IPS |
|
|
Face Detection (SP)
|
100% |
7783
92.5 IPS |
|
|
Face Detection (HP)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (Q)
|
97% |
11369
135.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10531
81.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2817
21.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
21221
169.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20410
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19505
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40982
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2559
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2507
92.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5430
201.1 IPS |
|
|
Text Classification (SP)
|
100% |
1623
2.17 KIPS |
|
|
Text Classification (HP)
|
100% |
857
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
464
621.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2744
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1073
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3546
71.3 IPS |