| Upload Date | March 08 2026 09:16 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS |
| Power Plan | Desempenho Mximo |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9014
1.68 KIPS |
|
|
Image Classification (HP)
|
100% |
1318
245.2 IPS |
|
|
Image Classification (Q)
|
99% |
15499
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2719
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
18791
305.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18024
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
13957
16.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
59692
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
9042
717.2 IPS |
|
|
Object Detection (HP)
|
100% |
1723
136.6 IPS |
|
|
Object Detection (Q)
|
86% |
16131
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
23021
273.5 IPS |
|
|
Face Detection (HP)
|
100% |
3756
44.6 IPS |
|
|
Face Detection (Q)
|
97% |
16957
202.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24029
185.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5105
39.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
40809
325.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42569
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29989
38.6 IPS |
|
|
Style Transfer (Q)
|
98% |
49617
64.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6568
242.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5508
203.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7022
260.0 IPS |
|
|
Text Classification (SP)
|
100% |
3749
5.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1560
2.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2719
3.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6418
110.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1750
30.1 IPS |
|
|
Machine Translation (Q)
|
65% |
6389
128.4 IPS |