| Upload Date | October 26 2025 02:46 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3607
670.8 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.6 IPS |
|
|
Image Classification (Q)
|
99% |
6490
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1784
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9229
150.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5981
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4126
4.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
23759
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2431
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
86% |
7805
627.3 IPS |
|
|
Face Detection (SP)
|
100% |
6403
76.1 IPS |
|
|
Face Detection (HP)
|
100% |
1753
20.8 IPS |
|
|
Face Detection (Q)
|
97% |
9414
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6680
51.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2429
18.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14627
116.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14313
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12021
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27560
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2298
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2226
82.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6611
244.8 IPS |
|
|
Text Classification (SP)
|
100% |
2182
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1059
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1922
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2606
44.9 IPS |
|
|
Machine Translation (HP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4339
87.2 IPS |