| User | masterclimby |
| Upload Date | September 15 2025 11:38 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2646
492.0 IPS |
|
|
Image Classification (HP)
|
100% |
630
117.2 IPS |
|
|
Image Classification (Q)
|
96% |
4260
795.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
839
13.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
4868
79.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4694
5.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
3912
4.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
9390
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
788
62.5 IPS |
|
|
Object Detection (Q)
|
58% |
3052
333.5 IPS |
|
|
Face Detection (SP)
|
100% |
4577
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
1576
18.7 IPS |
|
|
Face Detection (Q)
|
96% |
7541
90.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6261
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2085
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8975
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11643
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9781
12.6 IPS |
|
|
Style Transfer (Q)
|
87% |
11894
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2233
82.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1978
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3652
135.3 IPS |
|
|
Text Classification (SP)
|
100% |
1789
2.39 KIPS |
|
|
Text Classification (HP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1507
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3578
69.1 IPS |