| Upload Date | November 13 2025 09:40 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3806
707.8 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.5 IPS |
|
|
Image Classification (Q)
|
99% |
8225
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1105
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9243
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6458
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5373
6.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
23386
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
3536
280.5 IPS |
|
|
Object Detection (HP)
|
100% |
1023
81.1 IPS |
|
|
Object Detection (Q)
|
86% |
8664
696.3 IPS |
|
|
Face Detection (SP)
|
100% |
8289
98.5 IPS |
|
|
Face Detection (HP)
|
100% |
1975
23.5 IPS |
|
|
Face Detection (Q)
|
97% |
8378
99.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5020
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2857
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12561
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9119
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10134
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24395
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3053
112.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2600
96.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5382
199.3 IPS |
|
|
Text Classification (SP)
|
100% |
2268
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
1120
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1995
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3399
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
65% |
5287
106.2 IPS |