| Upload Date | November 13 2025 08:11 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2942
547.2 IPS |
|
|
Image Classification (HP)
|
100% |
694
129.0 IPS |
|
|
Image Classification (Q)
|
99% |
7646
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4205
68.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4911
5.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4688
5.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
20837
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (HP)
|
100% |
809
64.2 IPS |
|
|
Object Detection (Q)
|
86% |
5629
452.4 IPS |
|
|
Face Detection (SP)
|
100% |
7304
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
1948
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
10078
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6425
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2574
19.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15491
123.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12289
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11889
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28553
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2284
84.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5406
200.2 IPS |
|
|
Text Classification (SP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
511
684.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2873
49.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4385
88.1 IPS |