| Upload Date | November 18 2025 07:28 AM |
| Views | 2 |
| 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 GAMING WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI |
| 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 | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3711
690.2 IPS |
|
|
Image Classification (HP)
|
100% |
790
147.0 IPS |
|
|
Image Classification (Q)
|
99% |
8096
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1083
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8976
145.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
5203
6.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
22450
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
3139
249.0 IPS |
|
|
Object Detection (HP)
|
100% |
987
78.3 IPS |
|
|
Object Detection (Q)
|
86% |
8269
664.6 IPS |
|
|
Face Detection (SP)
|
100% |
6035
71.7 IPS |
|
|
Face Detection (HP)
|
100% |
2006
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
10439
124.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8116
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2666
20.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
17382
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15676
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13233
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18767
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3097
114.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2758
101.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5730
212.2 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
1194
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2085
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3300
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
65% |
5479
110.1 IPS |