| Upload Date | September 21 2025 03:33 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A II |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5515
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
1019
189.4 IPS |
|
|
Image Classification (Q)
|
99% |
12133
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
18152
295.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24274
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16526
19.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
70288
82.4 IPS |
|
|
Object Detection (SP)
|
100% |
6130
486.3 IPS |
|
|
Object Detection (HP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (Q)
|
86% |
14129
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
10891
129.4 IPS |
|
|
Face Detection (HP)
|
100% |
2750
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
15215
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19116
147.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4512
34.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
31461
251.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44914
57.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34042
43.8 IPS |
|
|
Style Transfer (Q)
|
98% |
53688
69.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2348
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
2199
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
1143
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
1912
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4694
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5074
102.0 IPS |