| Upload Date | November 14 2025 03:39 PM |
| 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% |
3635
675.9 IPS |
|
|
Image Classification (HP)
|
100% |
778
144.7 IPS |
|
|
Image Classification (Q)
|
99% |
8112
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3850
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6369
7.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
5094
5.94 IPS |
|
|
Pose Estimation (Q)
|
94% |
22028
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
3203
254.1 IPS |
|
|
Object Detection (HP)
|
100% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
86% |
8470
680.7 IPS |
|
|
Face Detection (SP)
|
100% |
5276
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
2034
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
9754
116.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7766
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2685
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16095
128.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14968
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13124
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
18834
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2982
110.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2604
96.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4517
167.3 IPS |
|
|
Text Classification (SP)
|
100% |
2000
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1050
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
2253
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2746
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4745
95.3 IPS |