| User | Intranetusa |
| Upload Date | February 11 2026 03:52 AM |
| Views | 2 |
| 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% |
3412
634.5 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.8 IPS |
|
|
Image Classification (Q)
|
99% |
6330
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1808
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7063
114.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4492
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
3966
4.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
16955
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2354
186.7 IPS |
|
|
Object Detection (HP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (Q)
|
86% |
6121
491.9 IPS |
|
|
Face Detection (SP)
|
100% |
6243
74.2 IPS |
|
|
Face Detection (HP)
|
100% |
1602
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
10106
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6244
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2080
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13098
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11697
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10815
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24599
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2104
77.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1915
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5246
194.3 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
890
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1657
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2667
45.9 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3886
78.1 IPS |