| User | Promoter |
| Upload Date | March 18 2026 11:13 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.2 IPS |
|
|
Image Classification (Q)
|
96% |
4690
875.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
5788
94.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4252
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3334
3.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
10753
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2090
165.8 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
58% |
2991
326.8 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
96% |
7553
90.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1753
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
9777
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10688
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8568
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15896
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3879
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
690
921.0 IPS |
|
|
Text Classification (Q)
|
97% |
1400
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.7 IPS |
|
|
Machine Translation (Q)
|
68% |
2451
47.4 IPS |