| Upload Date | December 05 2025 06:39 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7587
1.41 KIPS |
|
|
Image Classification (HP)
|
100% |
1229
228.5 IPS |
|
|
Image Classification (Q)
|
99% |
14499
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
16998
276.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14926
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
10960
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
48072
56.4 IPS |
|
|
Object Detection (SP)
|
100% |
7028
557.4 IPS |
|
|
Object Detection (HP)
|
100% |
1521
120.7 IPS |
|
|
Object Detection (Q)
|
86% |
14839
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
12867
152.9 IPS |
|
|
Face Detection (HP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
16129
192.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18007
138.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4470
34.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
31036
247.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32221
41.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24174
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
40770
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5940
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4789
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6972
258.2 IPS |
|
|
Text Classification (SP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1608
2.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2720
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6092
122.4 IPS |