| User | Murusek666 |
| Upload Date | January 28 2026 03:11 PM |
| Views | 3 |
| 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 | High performance |
| 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 | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3750
697.3 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.3 IPS |
|
|
Image Classification (Q)
|
99% |
9336
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8425
137.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9970
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8061
9.41 IPS |
|
|
Pose Estimation (Q)
|
94% |
41867
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
3845
305.0 IPS |
|
|
Object Detection (HP)
|
100% |
816
64.7 IPS |
|
|
Object Detection (Q)
|
86% |
9448
759.4 IPS |
|
|
Face Detection (SP)
|
100% |
8128
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
11819
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10788
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2911
22.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
23236
185.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22028
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21528
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
40938
52.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2561
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2482
91.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5428
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
1606
2.14 KIPS |
|
|
Text Classification (HP)
|
100% |
813
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
473
633.2 IPS |
|
|
Machine Translation (SP)
|
100% |
3003
51.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1075
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3373
67.8 IPS |