| User | broket |
| Upload Date | March 14 2026 07:30 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 EAGLE WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B850 EAGLE WIFI6E |
| Power Plan | Balanced |
| 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% |
3739
695.4 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (Q)
|
99% |
9827
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4471
72.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7493
8.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
6411
7.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
34896
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
3696
293.2 IPS |
|
|
Object Detection (HP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (Q)
|
86% |
8383
673.7 IPS |
|
|
Face Detection (SP)
|
100% |
7879
93.6 IPS |
|
|
Face Detection (HP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
11906
142.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9667
74.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3290
25.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
22966
183.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17571
22.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14700
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30812
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3379
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2959
109.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6486
240.2 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
614
822.5 IPS |
|
|
Machine Translation (SP)
|
100% |
4154
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
5465
109.8 IPS |