| User | Intranetusa |
| Upload Date | February 11 2026 03:59 AM |
| Views | 4 |
| 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% |
3747
696.9 IPS |
|
|
Image Classification (HP)
|
100% |
692
128.6 IPS |
|
|
Image Classification (Q)
|
99% |
6014
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1689
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
778
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7102
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4631
5.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4103
4.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
17388
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
686
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
6049
486.2 IPS |
|
|
Face Detection (SP)
|
100% |
6429
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
10162
121.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6300
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2744
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
18643
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14671
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12785
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29337
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2560
94.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6619
245.1 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1120
1.49 KIPS |
|
|
Text Classification (Q)
|
97% |
2016
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2879
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4950
99.5 IPS |