| User | mahmoodisaeed |
| Upload Date | March 25 2026 03:03 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7500F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3264
607.1 IPS |
|
|
Image Classification (HP)
|
100% |
740
137.7 IPS |
|
|
Image Classification (Q)
|
99% |
7758
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8689
141.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4982
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4405
5.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
19754
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
903
71.6 IPS |
|
|
Object Detection (Q)
|
86% |
7857
631.5 IPS |
|
|
Face Detection (SP)
|
100% |
7378
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
1953
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
10388
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6645
51.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2518
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16500
131.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15087
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11235
14.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26325
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2738
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1972
72.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5121
189.6 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1098
1.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1845
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2852
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1151
19.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5006
100.6 IPS |