| Upload Date | February 21 2026 07:07 PM |
| Views | 23 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650M-PLUS WIFI |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4308
801.2 IPS |
|
|
Image Classification (HP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (Q)
|
99% |
9545
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
905
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12796
208.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12294
14.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8914
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
39934
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
4501
357.0 IPS |
|
|
Object Detection (HP)
|
100% |
832
66.0 IPS |
|
|
Object Detection (Q)
|
86% |
10368
833.3 IPS |
|
|
Face Detection (SP)
|
100% |
8494
100.9 IPS |
|
|
Face Detection (HP)
|
100% |
1613
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
12173
145.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12185
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2942
22.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22252
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25437
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22378
28.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39199
50.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2546
94.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4983
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
1643
2.19 KIPS |
|
|
Text Classification (HP)
|
100% |
858
1.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
4406
88.5 IPS |