| Upload Date | October 25 2025 10:01 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| Power Plan | Yksek performans |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (Q)
|
99% |
6292
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
794
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6638
107.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3817
4.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3219
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
15776
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
1669
132.4 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
4991
401.1 IPS |
|
|
Face Detection (SP)
|
100% |
4587
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
8186
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3862
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
11517
91.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8899
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
8497
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
20554
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4337
160.6 IPS |
|
|
Text Classification (SP)
|
100% |
1460
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1593
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3682
74.0 IPS |