| Upload Date | December 11 2025 10:53 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (HP)
|
100% |
762
141.7 IPS |
|
|
Image Classification (Q)
|
99% |
7848
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3881
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6298
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
5271
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
22186
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3184
252.6 IPS |
|
|
Object Detection (HP)
|
100% |
956
75.8 IPS |
|
|
Object Detection (Q)
|
86% |
7967
640.3 IPS |
|
|
Face Detection (SP)
|
100% |
6516
77.4 IPS |
|
|
Face Detection (HP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
10103
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7887
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2728
21.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16865
134.6 IPS |
|
|
Style Transfer (SP)
|
100% |
15617
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12658
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
26592
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3029
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2523
93.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4397
162.8 IPS |
|
|
Text Classification (SP)
|
100% |
1854
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2217
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4329
87.0 IPS |