| User | aaron958 |
| Upload Date | November 06 2025 04:39 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-A GAMING WIFI |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7302
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
1038
193.0 IPS |
|
|
Image Classification (Q)
|
99% |
14949
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1597
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15871
258.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11761
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9518
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
47712
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
6748
535.3 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
86% |
14488
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
9017
107.1 IPS |
|
|
Face Detection (HP)
|
100% |
2709
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
14198
169.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
14773
113.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3819
29.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
27576
220.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25750
33.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20623
26.5 IPS |
|
|
Style Transfer (Q)
|
98% |
32687
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5217
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4257
157.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7428
275.1 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1508
2.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2550
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4334
74.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1419
24.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5571
112.0 IPS |