| Upload Date | December 16 2025 09:49 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 9600X |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B850-PLUS WIFI |
| Power Plan | AMD Ryzen 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% |
4262
792.5 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.3 IPS |
|
|
Image Classification (Q)
|
99% |
10177
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10914
177.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8027
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
6780
7.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
32832
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
3729
295.8 IPS |
|
|
Object Detection (HP)
|
100% |
1019
80.9 IPS |
|
|
Object Detection (Q)
|
86% |
10635
854.7 IPS |
|
|
Face Detection (SP)
|
100% |
8274
98.3 IPS |
|
|
Face Detection (HP)
|
100% |
2174
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
11722
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10300
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3074
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
22053
176.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19321
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15016
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32427
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3177
117.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5965
220.9 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
1160
1.55 KIPS |
|
|
Text Classification (Q)
|
97% |
1855
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3423
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4539
91.2 IPS |