| Upload Date | November 14 2025 11:34 AM |
| Views | 2 |
| 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. ROG STRIX B650E-E GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6508
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
1116
207.6 IPS |
|
|
Image Classification (Q)
|
99% |
14529
2.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2526
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
17716
288.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
14602
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
11533
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
52025
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
8213
651.5 IPS |
|
|
Object Detection (HP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (Q)
|
86% |
15023
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
20997
249.5 IPS |
|
|
Face Detection (HP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
15850
189.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22102
170.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4627
35.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
35003
279.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36334
46.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24264
31.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40181
51.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5651
208.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4919
181.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7029
260.3 IPS |
|
|
Text Classification (SP)
|
100% |
3525
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2555
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5883
101.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (Q)
|
65% |
5904
118.6 IPS |