| Upload Date | December 17 2025 01:35 PM |
| Views | 5 |
| 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% |
3396
631.6 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.6 IPS |
|
|
Image Classification (Q)
|
99% |
8175
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9109
148.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5823
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
4903
5.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
22724
26.6 IPS |
|
|
Object Detection (SP)
|
100% |
3165
251.0 IPS |
|
|
Object Detection (HP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
7979
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
7404
88.0 IPS |
|
|
Face Detection (HP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
10858
129.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7928
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2858
22.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
16672
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13738
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
11795
15.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25778
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2836
104.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5405
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1058
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2077
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3193
55.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
5060
101.7 IPS |