| Upload Date | November 05 2025 08:26 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING PLUS WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING PLUS WIFI |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5699
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
1047
194.8 IPS |
|
|
Image Classification (Q)
|
99% |
11695
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1589
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
13491
219.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8104
9.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
37058
43.5 IPS |
|
|
Object Detection (SP)
|
100% |
4812
381.7 IPS |
|
|
Object Detection (HP)
|
100% |
1251
99.2 IPS |
|
|
Object Detection (Q)
|
86% |
11460
921.0 IPS |
|
|
Face Detection (SP)
|
100% |
7221
85.8 IPS |
|
|
Face Detection (HP)
|
100% |
2580
30.7 IPS |
|
|
Face Detection (Q)
|
97% |
12853
153.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12696
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3774
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
25221
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23683
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17846
22.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31629
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3864
142.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5489
203.3 IPS |
|
|
Text Classification (SP)
|
100% |
3326
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1502
2.00 KIPS |
|
|
Text Classification (Q)
|
97% |
2515
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4477
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1416
24.4 IPS |
|
|
Machine Translation (Q)
|
65% |
6649
133.6 IPS |