| User | Intranetusa |
| Upload Date | February 11 2026 03:55 AM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| 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% |
3222
599.2 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.6 IPS |
|
|
Image Classification (Q)
|
99% |
8745
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1771
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
10824
176.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5996
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5053
5.90 IPS |
|
|
Pose Estimation (Q)
|
94% |
25972
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3090
245.1 IPS |
|
|
Object Detection (HP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (Q)
|
86% |
9124
733.3 IPS |
|
|
Face Detection (SP)
|
100% |
7145
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
11788
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8633
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2734
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18699
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14486
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13165
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29281
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2431
89.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6416
237.6 IPS |
|
|
Text Classification (SP)
|
100% |
1710
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2615
45.0 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4164
83.7 IPS |